Green Cities Artificial Intelligence January 15, 2024 2 Acknowledgements Mia Cunningham Jaymee Pearce Summer Researchers Janet Damian Vasquez Bertha Price Maggie Darst Oscar Proulx Luca Arroyo David Dominguez Evan Reince-Seibert Johnathan Beckerman Alisa Dougherty Regina Rigali Nick Bernier Selerino Flores-Mendez Ocea Roberts Thompson Zoe Holguin Allison Fujimoto Liliana Ruiz Eva Krukowski Evan Getz Maysen Russell Eden Martin Audrey Green Meg Sauer George McNamee Josh Hansen Dora Schmidt Nicole Pianalto Ella Hopkins Sophie Sebastian Alexander Poole Zella Hush Kyle Spires Daniel Satterthwaite Sophie Johnsen Max Springer Wilhem Schlieder Arthur Katahdin Mahathi Sridhar Aidan Trimble Ethan Kemper Ada Swartley Brier Turnbull Sophie Kirkwood Dev Trepess Joey Vierra Zoe Kleiner Harry Valentine-Wilson Jade Koch Laurel Viles Nadav Kramer Ella Vollmer Fall Researchers Alvin Levie Kevin Ward Zachary Liem Kiran Weasel Delaney Armstrong Tiana Littlejohn Sam Whitfield Madeline Baker Amie Mellot Stephanie Wigle Christian Binder Madison Merwine Dean Woolery Madison Brown Emma Milanes Gomez Abbie Wrenn Manny Cano Erin Murphy Rivkah Zigman Hadley Cardwell Thomas Nguyen Issac Charlton Charlie Niggley Eduardo Chavbez-Sanchez Cole O’Bryan ⚫ Reece Clotfeller Jaden O’Farrell Owen Colgrove Caitlin O’Kief 3 Acknowledgements Sponsors Krishna Namburi, Deputy City Manager, City of Salem, Oregon Courtney Busch, Strategic Initiatives Manager, City of Salem, Oregon Advisors Megan Banks, Program Director, Sustainable City Year Program Eric Borgos, Owner, Impulse Communications, Inc. Hector Dominguez Aguirre, Open Data, Privacy, and Surveillance Technologies Coordinator, City of Portland Dirk Engelke, Professor, Eastern Switzerland University of Applied Sciences (OST) Lindsey Hayward, Assistant Program Manager, Sustainable City Year Program Elaine Hseih, Director of Community Engagement, Technology Association of Oregon Petra Hurtado, Director of Research and Foresight, American Planning Association Eunice Kim, Long Range City Planner, City of Salem, Oregon Tim Johnson, Professor of Public Management and Policy Analysis & Director of the Center for Governance and Public Policy Research, Willamette University Clarissa Littler, Coord/STEM and Design Center, Portland Community College Nolan Pleše, Lobbyist, League of Oregon Cities June Stephens, Recorder/Editor Ric Stephens, Instructor/Editor, University of Oregon, School of Planning, Public Policy, and Management 4 Table of Contents Acknowledgements................................................. 3 Table of Contents .................................................... 5 Introduction ............................................................. 6 City Generative AI Policies....................................... 8 Public Information Meetings .................................. 13 Implementation Actions ........................................ 17 AI Software and Use Cases .................................... 58 References ............................................................ 74 Appendices Green Cities AI Website ................................................................... 113 Generative AI Directory .................................................................. 114 AI Timeline ....................................................................................... 115 AI Glossary ...................................................................................... 116 AI Font ............................................................................................. 117 Message in a Bottle Public Art Project ............................................. 118 Index ............................................................................................... 119 5 Introduction n an era defined by rapid urbanization, the effective planning and I management of cities have become paramount to ensure sustainable development, efficient resource allocation, and enhanced quality of life for residents. Traditional methods of urban planning and management are grappling with the complexities and challenges presented by modern cities. Enter Artificial Intelligence (AI), a disruptive technology that holds immense potential to revolutionize the way cities are planned, designed, and operated. The primary aim of this report is to provide an in-depth exploration of the multifaceted role that Artificial Intelligence plays in modern city planning and management. Through a comprehensive analysis of key AI applications, case studies, challenges, and ethical considerations, the report aims to provide resources for urban planners, City staff, and elected officials responsible for community planning and development. These include a model City policy, draft informational public meeting format, AI software and applications, implementation actions, AI timeline, glossary, and research references. This report represents the cumulative efforts of many participants and is sponsored by the City of Salem and Sustainable City Year Program. The Green Cities AI project website is at: https://blogs.uoregon.edu/artificialintelligence/ As cities continue to evolve into complex ecosystems, the integration of Artificial Intelligence stands as a pivotal force in shaping their trajectories. Through this report, we aim to provide a comprehensive understanding of how AI is transforming the way cities are planned, operated, and experienced. By analyzing the tools, applications, and ethical considerations, we hope to equip policymakers, urban planners, and stakeholders with the insights needed to navigate the AI-driven urban landscape effectively and create cities that are not only smart but also sustainable, resilient, and regenerative. ⚫ 6 Introduction Navigation “This report, by its very length, defends itself against the risk of being read.” Winston Churchill This report is a synthesis of more than 400 pages of student research, implementation actions, and references. Although compressed, it is still a lengthy document, and—for those who have specific interests—the most expedient way to locate information is via the PDF “Find text or tools” search feature or by using the Ctrl+F (Control Find) keyboard shortcut. The report is a hypertext document, and the Table of Contents and Index link to the appropriate sections. Page numbers link to the Table of Contents. Citations Many individual implementation actions and software program reviews have multiple students and references sources. Researchers and advisors are listed in the Acknowledgments, and literature resources are in the Reference section. Images All photos are courtesy of June Stephens. All GenAI graphics are courtesy of Ric Stephens (Playground.AI). All icons are Green Cities AI Font designs (Fontcreator). All other images are public domain. ⚫ 7 City Generative AI Policies ity Generative AI policies refer to a set of regulations, C guidelines, and principles that govern the development, deployment, and use of artificial intelligence (AI) technologies within urban environments. Generative AI , or GenAI, is an umbrella term for any type of artificial intelligence (AI) system capable of generating text, images, or other media in response to prompts. This is different from “traditional” AI, which uses patterns to make predictions. These policies aim to ensure the responsible and ethical integration of AI systems into various aspects of city life, such as transportation, infrastructure, public services, safety, and governance. The key points encompassed by City Generative AI policies include: Ethical Use Policies prioritize the development and deployment of AI systems that adhere to ethical standards, ensuring fairness, transparency, accountability, and respect for human rights in all AI applications. Transparency and Accountability Developers and operators of AI systems are required to provide clear explanations of how AI-driven decisions are made, enabling citizens and authorities to understand the logic behind such systems. Accountability mechanisms are put in place to address instances of bias, errors, and unintended consequences. Data Privacy and Security Policies emphasize the protection of individuals’ privacy and personal data when AI technologies process and analyze data. Robust data security measures are mandated to prevent unauthorized access and breaches. Equity and Fairness City Generative AI policies aim to mitigate biases that might emerge from AI algorithms, ensuring that AI systems do not perpetuate 8 City Generative AI Policies discrimination or disadvantage specific groups within the city Regulatory Flexibility population. Recognizing the evolving nature of AI technologies, policies may Citizen Engagement provide a flexible regulatory framework that can adapt to advancements and changing circumstances while maintaining ethical standards. Policymakers encourage citizen participation and input in the development and deployment of AI systems. Engaging the public in Safety and Security decision-making processes helps ensure that AI technologies align with the needs and aspirations of the city’s residents. Policies address concerns related to the safety and security of AI systems, ensuring that they are robust against malicious attacks, errors, Education and Training and technical failures that could potentially disrupt urban life. Policies support initiatives that promote AI literacy and awareness In summary, City Generative AI policies seek to harness the potential of among the general public, ensuring that citizens have a basic AI technologies to enhance city living while prioritizing ethical understanding of AI concepts and their implications. considerations, citizen engagement, fairness, and data privacy. These policies aim to create a balanced framework that enables innovation Innovation and Research while safeguarding the well-being and rights of urban populations. While ensuring responsible use, policies also foster innovation by The following Model City Generative AI Policy was developed from a providing a framework that encourages the development of cutting- City of Salem, Oregon, AI Workshop; city policy case studies; and edge AI technologies that can enhance urban living standards. student research. (see References) Public Services Enhancement Model City Generative AI Policy AI applications in areas such as traffic management, waste management, healthcare, and emergency response are encouraged to 2023-08-27 v. 5 improve the efficiency, effectiveness, and accessibility of public services. Impact Statement Environmental Sustainability Generative artificial intelligence (AI) systems have become increasingly Policies promote the use of AI to optimize resource utilization, energy popular and are being used in various domains. While these systems efficiency, and sustainability efforts within the city, helping to address offer potential benefits, they also pose risks and uncertainties. The city environmental challenges. recognizes the need to minimize potential issues and risks associated with the use of generative AI systems until further research and analysis Collaboration and Standards can be conducted. Policymakers may encourage collaboration among AI developers, local Background and Definitions government bodies, academia, and civil society to establish common standards and best practices for AI deployment in urban contexts. Generative AI refers to AI systems capable of producing content based 9 City Generative AI Policies on input data rather than analyzing existing data. The technology is Inclusion, Respect, Fairness, and Non-Discrimination evolving rapidly and has implications for sourcing training data, content attribution, and handling sensitive data. AI development and use should address past and present inequities, uplifting marginalized communities. Purpose • Ensure that AI systems do not reflect unfair bias or make Generative AI is a relatively new technology that leverages large impermissible discriminatory decisions. amounts of data and machine learning techniques to generate content. While these tools have potential usefulness, their impacts and risks are • Use AI tools respectfully and responsibly as stewards of the public. not yet fully understood. Responsible experimentation and control of • Use generative AI in a way that respects the rule of law, human new tools are encouraged to drive efficient and beneficial outcomes. rights, democratic values, diversity, and inclusion, with appropriate Regulatory and non-regulatory approaches should be performance- safeguards to ensure a fair and just society. based, flexible, and technology-neutral, avoiding mandates that harm innovation. A coherent and whole-of-government approach to AI Scientific Integrity, Information Quality, and oversight requires interagency coordination. This policy serves as an Intellectual Property interim resource to guide city employees in the responsible use of generative AI. Information with a clear and substantial influence on public policy or private sector decisions should meet high standards of quality and Principles and Policies transparency. • Ensure the accuracy, reliability, and validity of decisions. Review, Empowerment, Acquisition, and Use revise, and fact-check via multiple sources any output from a AI should support the workforce in delivering better, safer, more just, Generative AI. The human user is responsible for any material more efficient, and equitable services and products to residents. created with AI support. • Acquire all software services, including generative AI systems, • Establish data provenance and assure the quality and relevance of through the city’s processes. data input into algorithms. • Exercise judgment to ensure the benefits of AI while avoiding • Perform due diligence to ensure no copyrighted material is negative impacts. published without proper attribution or rights. • Submit a service request and obtain departmental approval to use Transparency, Disclosure, Explainability, Attribution, generative AI software applications. Departments may provide Accountability, Benefits, and Costs additional rules on the usage of Generative AI for their staff. Staff should consult their manager if there are additional rules specific to Transparent actions build trust and collective learning, acknowledging their department. the limitations of knowledge. All citizens have the right to know the basis of an AI decision that concerns them. 10 City Generative AI Policies • Allow consumers to evaluate content by understanding its and engage with communities for a better understanding. authorship. • Contact the appropriate department for secure resources if needed. • Cite generated AI content: 1) Name of Generative AI system used • Do not submit sensitive, confidential, or personally identifiable data (e.g., ChatGPT-4, Google Bard, Stable Diffusion), 2) Confirmation (prompts) to generative AI systems. that the information was fact-checked, reviewed, and edited. • Ensure that AI systems function robustly, securely, and safely • Consider costs, impacts, and accountability for experimentation. throughout their lifecycle. • Create generative AI accounts just for City use. • Verify content generated by AI for accuracy, outdated information, • Document how the model was used to foster better understanding potential biases, and offensive or harmful material. and safer utilization. Public Purpose, Trust, Participation, and Records • Ensure responsible disclosure and transparency around AI systems. AI should benefit the community, with service to the public as the • Evaluate AI systems and be responsible for all decisions made by central focus. those systems. • Be aware of creating public records with generative AI and comply • Hold all organizations and individuals developing, deploying, or with relevant guidelines. operating AI systems accountable for their proper functioning. • Disclose and record your usage of Generative AI. • Presume anything you submit could end up on the front page of a • Ensure all AI regulatory and non-regulatory approaches contribute newspaper. All information you enter is subject to a Public Records to public trust in AI. Act (PRA) request. The information you enter into chatbots (e.g. ChatGPT) and other Generative AI systems can be viewed by people • Provide public participation, especially in cases involving AI’s use of in their companies, so it is considered “released to the public” for information about individuals. purposes of the PRA, thus, waiving any applicable exemption. Next Steps and Actions Robustness, Safety, Security, and Privacy This advisory memo provides preliminary considerations and guidelines The impact on security and privacy rights must be considered in all tool for City employees until further policies are established. The city’s IT usage. Department will conduct research and engage stakeholders to develop comprehensive policies for government use of generative AI. • AI systems must be secured against cybersecurity threats. • Assess and manage public safety risks arising from AI systems and implement safety controls. • Consider the impact of generated content on vulnerable populations 11 City Generative AI Policies Model City Generative AI Policy Meeting Participants University of Oregon City of Salem Luca Arroyo Keith Stahley, City Manager Megan Banks, Director, Sustainable City Year Program Krishna Namburi, Deputy City Manager Jonathan Beckerman Courtney Knox Busch, Strategic Initiatives Manager Nick Bernier Michael Bennett, Salem Police Department Zoe Holguin Kelli Blechschmidt, Finance Eva Krukowski Dan Brown, Enterprise Services Department, GIS Eden Martin Devin Doring, Public Works, GIS George McNamee Tami Carpenter, City Manager’s Office Nicole Pianalto David Gasper, Enterprise Services Department, IT (app development) Alexander Poole Erin Grimm, Enterprise Services Department, IT Daniel Satterthwaite Eunice Kim, Urban and Community Development, Long-range Planning Wilhem Schlieder Trevor Smith, Public Works, PIO Alan Soto Sonja Somerville, Community Services Department, Salem Public June Stephens, (S2T) Recorder Library Ric Stephens, Instructor Tammi Starrs, Public Works, Capital Improvement Plan Aidan Trimble Melissa Woodford, Enterprise Services Department, IT (hardware) Brier Turnbull ⚫ Joey Vierra 12 Public Information Meetings ublic meetings bring diverse Model AI Public P groups of stakeholders together for a specific Event Draft Outline purpose. Public meetings are held Event Details to engage a wide audience in information sharing and discussion. They can be used to increase Pre-event Preparations awareness of an issue or proposal, Event Names / Themes and can be a starting point for, or Several engaging event names/ an ongoing means of engaging, themes were proposed to capture further public involvement. When the essence of the Generative AI done well, they help build a feeling Public Meeting: of community. (EPA, n.d.) As part of the City of Salem AI • AI Kitchen Workshop, participants discussed a • AI Workshop variety of public meeting formats to • DiscoTech introduce Generative AI to the • You and AI citizens of Salem. Additional research was conducted and a City Webpage meeting with City Long Range The City’s official webpage may play Planner Eunice Kim continued to a crucial role in disseminating develop concepts for a model City information about the event: AI Public Meeting. The following • Contacts for inquiries draft scenario is a synthesis of this • Comprehensive event effort. announcement and description • Frequently Asked Questions (FAQs) section • Material links such as media and relevant websites • Virtual Scavenger Hunt for virtual participants 13 Public Information Meetings Social Media • City IT Department representative Various social media platforms may be utilized to create awareness and • Professional Organizations generate interest: • Representatives of underrepresented communities • Facebook • Instagram Speaker Generative AI Topics • X (Twitter) Presenters may explore a diverse range of Generative AI topics, including: • Applications of Generative AI Announcements • Addressing ethical and policy issues Multiple channels may be employed to announce the event to a wide • Formulating effective policies audience: • Future projections and forecasts • Distribution of flyers and brochures • The integration of ubiquitous AI • Inclusion in newsletters • Utility bill inserts Breakout Groups/Tables • Public Awareness Kit on the official website Attendees may participate in interactive breakout groups, where each table may: Event Agenda • Explore a distinct topic • Have a city staff or a student moderator, scribe, timekeeper, and Schedule The event schedule should be meticulously planned to provide a reporter (rapporteur) meaningful experience to attendees: • Utilize laptops connected to ChatGPT for prompt engineering • Event setup at 1:00pm experience • Music and refreshments available from 3:30pm • Cater to non-English-speaking attendees as required with one or more separate tables • Formal proceedings begin at 4:00pm with introductions • Diverse speakers, encompassing a range of organizations, may share their insights Video Recording To ensure lasting impact, the event may be recorded, encompassing both • Breakout groups engaged in discussions proceedings and discussions. • The event may conclude with a summary, closure, and an outline of the next steps On-site Child Care A dedicated on-site childcare facility may be provided, underscoring Speakers inclusivity and accessibility. The event may feature speakers from various influential entities. Notable speakers may include: 14 Public Information Meetings Post-event Activities City Website The City’s website may continue to be a focal point for post-event engagement: • A survey may be made available for attendees to provide feedback • The event’s video recording, with multilingual options, may be shared via YouTube links Social Media Social media platforms may remain instrumental in gathering feedback and extending the event’s reach: • A survey may be circulated to gather insights from the virtual audience • The event’s video recording, accessible in multiple languages, may be promoted through YouTube links Video The event’s video recording, thoughtfully tailored for accessibility, may be Salem Public Library Event Announcement disseminated through both the City’s website and YouTube: • Versions available in English, American Sign Language (ASL), and City of Salem AI Lab Spanish with captions would ensure a wider audience reach and inclusivity An AI public event was organized and held on November 16, 2023 at the • The Video may also be edited to include additional information City of Salem Public Library. City and social media announced this meeting as follows: A GenAI public event has the same objectives as the Green Cities course:  Digital Literacy—Understand generative artificial intelligence Dive into the World of AI-Powered Chatbots (GenAI) opportunities and limitations. Are you curious about the future of AI and its practical applications?  Prompt Design—Develop skills in GenAI communication and Bring your smartphone, tablet, or laptop and embark on an immersive content creation exploration of ChatGPT for both personal and professional use. This  Applications—Master specific GenAI tools for text, graphics, audio, captivating event will open your eyes to the fascinating realm of video, and more. Generative AI and equip you with valuable digital skills. 15 Public Information Meetings Dive into the World of AI-powered Chatbots, City of Salem Public Library, November 16, 2023 This event is led by staff and students from the University of Oregon College of Design who will give a presentation about AI followed by one- on-one sessions to help audience members experience AI and chatbots. The event was attended by over 100 residents, students and staff. After a brief overview of generative AI and an introduction to prompt design, students and residents collaborated on specific projects ranging from story-telling, resumes, recipes, and many other applications. ⚫ 16 Implementation Actions esearch conducted by the Green Cities 2023 Summer and Fall R students included specific recommendations for city programs and projects. More than 500 implementation actions are organized by the following categories: AI Programming, Air Quality, City Communications, Climate Change, Community Education, Community Engagement, Emergency Management, Food, Green Space, Health and Safety, Hospitality and Tourism, Housing, Infrastructure, Mobility, Public Art, Public Space, Sustainable Development, Transportation, Urban Agriculture, Urban Ecology, Urban Planning, Walkability, and Water Resources. AI Programming AI Chatbots in City Services and Policy Writing: Deploy AI-driven chatbots in customer service centers and for policy writing, enhancing efficiency and interaction quality. Continually update these chatbots, gathering employee and citizen feedback to improve functionality and range. AI for Continuous Learning and Monitoring: Encourage city officials to engage in continuous AI learning sessions and establish systems to monitor AI performance. This ongoing education and oversight ensures that AI applications remain current and effective. AI for Diversity, Inclusion, and Employee Recognition: Ensure AI development teams are diverse to reduce decision-making biases. Implement AI tools for recognizing employee achievements and predicting factors contributing to employee turnover, enhancing workplace inclusivity and satisfaction. AI for Energy Efficiency and Green Job Creation: Invest in AI-driven solutions for energy efficiency and identify green job opportunities in 17 Implementation Actions underserved areas. This promotes environmental sustainability and Design mandatory AI ethics and compliance training for city officials, economic growth. focusing on ethical implications in decision-making processes. AI for Real-Time Data and Feedback Mechanisms: Create dynamic AI in Inter-city Collaboration and Vendor Partnerships: Encourage data dashboards for real-time urban data monitoring and employ AI tools collaborations with experts, universities, and other cities for knowledge for real-time employee feedback analysis, enabling prompt strategy sharing and best practice adoption. Collaborate with vendors to improve adjustments. AI applications and address biases. AI for Scalable Integration and Regular Updates: Adopt a staged AI in Public Workshops and Quality Assurance: Utilize AI to approach for AI deployment in city services, allowing for smooth streamline public workshops and establish dedicated teams for evaluating transitions and addressing challenges effectively. Maintain a schedule for AI-generated outputs, ensuring their relevance and accuracy. regular AI system updates to incorporate the latest advancements. AI in Recruitment and Performance Management: Integrate an AI- AI in Accessibility and Inclusivity: Implement AI technologies like driven Applicant Tracking System (ATS) for efficient resume screening speech recognition and image processing to enhance accessibility and and candidate selection. Regularly audit these AI algorithms for biases inclusivity in city services, particularly for citizens with disabilities. This and ensure HR staff are trained to optimize these systems. This strategy approach ensures that all individuals have equitable access to essential streamlines hiring while safeguarding against algorithmic biases. services. AI in Training and User Education: Focus on training programs for AI in Copyright and Federal Policy Monitoring: Monitor federal geography and spatial data science students and ensure ongoing training interpretations and policies regarding AI-generated content and its for city officials in AI usage. This fosters a skilled workforce capable of application in city management, ensuring compliance with legal leveraging AI technologies effectively. frameworks. AI in Urban Planning and Environmental Justice: Incorporate AI in AI in Cultural Diversity Celebrations and Multilingual Support: Use urban planning, ensuring green space allocation in communities of color AI to celebrate cultural diversity and provide multilingual support in city and densely urbanized areas. Use AI for predictive modeling in land use services, fostering inclusivity and effective communication with diverse and integrate generative AI language models to automate urban planning populations. tasks. AI in Data Protection and Ethical Data Handling: Emphasize AI in Workforce Analytics and Succession Planning: Implement AI stringent data protection guidelines and ethical data collection practices. models for workforce analytics to facilitate succession planning and talent This protects citizen privacy and builds trust in AI systems used within development, ensuring a future-ready city workforce. the city. Algorithm-Generated Models and Transparency: Utilize AI-generated AI in Ethical Principles and Compliance: Adhere to ethical AI models for efficient data analysis and outcome generation. Parallelly, principles, like UNESCO’s guidelines, in all urban planning projects. establish clear guidelines for AI-driven engagement to maintain public 18 Implementation Actions trust, addressing concerns such as bias and data privacy. This dual interviews and surveys will inform better decisions regarding AI software approach balances efficiency with accountability. implementation. Algorithmic Transparency Initiatives: Implement transparent Educational Resources for City Employees on AI: Develop accessible guidelines for AI usage in public services. Ensuring transparency is crucial educational materials on AI for city employees to foster basic AI literacy. for maintaining public trust and addressing concerns about bias and data These resources, tailored to relevant programs and concepts, are essential privacy. for training staff and familiarizing them with AI software, enhancing their competence in AI applications. Attribution and Citation for AI Responses: Develop a standardized citation format for AI-generated content, clearly indicating the sources of Integrating AI with IoT and Policy Decision-Making: Combine AI information used by the AI. with the Internet of Things (IoT) for proactive infrastructure management. Use AI for predictive analytics in policy-making, offering Benchmarking Against Leading Cities: Study and benchmark AI evidence-based solutions for urban challenges. practices from leading cities like Boston and San Jose. Adapt their best practices to suit Salem’s unique context and requirements. Paid Training Programs for AI Software: Establish paid training programs for employees to learn specialized AI software. Given the Chatbots in Policy Writing: Start using chatbots, like ChatGPT, for complexity of some AI tools, providing incentives and structured training drafting policy documents. These AI tools can rapidly produce clear and is crucial for enhancing staff proficiency and fostering a culture of concise text, enhancing efficiency in policy development. technical advancement in city government. Citizen Engagement and Feedback Analysis: Leverage AI to create Proficiency in Existing AI Programs: Investigate current usage of AI personalized government web portals and analyze citizen feedback. This software in existing programs. Many popular software tools are helps in tailoring services and responses based on individual needs and increasingly integrating AI features. Focus on identifying and training preferences, thereby enhancing citizen satisfaction and engagement. staff in AI components of existing tools like Microsoft’s Office 365 and City Employee Input on AI Implementation: Encourage city Cisco products to optimize AI implementation cost-effectively. employees to provide input on AI implementation in their work areas. Regulating AI Software in City Employment: Implement regulations Their insights are crucial for understanding how AI can be most for the formal application of AI software in government workplaces. effectively employed, considering their familiarity with operational needs. Understanding and categorizing the appropriate and inappropriate uses This collaborative discourse will help tailor AI use to specific workplace of AI will help mitigate potential errors and shortcomings, ensuring requirements. responsible and effective utilization of AI technology. City Employee Interviews for AI Application: Conduct interviews with city employees to identify tasks suitable for AI application. Understanding which tasks are time-consuming or less preferred helps in strategically delegating work to AI. This non-intrusive data collection through 19 Implementation Actions decision-making on zoning laws, the development of green spaces, and Air Quality effective traffic management to improve air quality. AI-Driven Emergency Response Mobile Monitoring with AI-Enabled Sensors: Deploy AI-enhanced Planning: Craft emergency response mobile sensors on vehicles or drones to gather diverse and detailed air strategies using AI models that predict air quality data. This mobile monitoring approach provides a comprehensive quality scenarios. These plans ensure rapid view of air quality variations across different urban locations. and efficient action during episodes of high Noise Pollution Control: Apply AI technology to monitor and regulate pollution, thereby safeguarding public noise levels in urban areas. This initiative not only manages noise health during critical times. pollution but also contributes significantly to the overall improvement of AI-Powered Air Pollution Models: the urban living environment. Implement advanced AI and machine learning algorithms to accurately Public Awareness Campaigns: Utilize AI-driven communication tools predict air pollution levels in disadvantaged neighborhoods, focusing on for personalized public awareness campaigns. These campaigns aim to identifying the sources and exposure levels. This targeted approach aims educate residents about air quality issues and promote behavioral to address environmental justice by pinpointing and mitigating pollution changes that contribute to a healthier urban atmosphere. in low and middle-income areas. Real-Time Anomaly Detection: Utilize sophisticated AI technologies Citizen Feedback Systems: Develop interactive, AI-powered platforms for instant detection and response to abnormal pollution events. This that allow citizens to easily report air quality observations. This system proactive approach enables swift identification of environmental hazards, enhances the crowd-sourced data pool, leading to more effective and facilitating immediate remedial action to protect public health and the comprehensive monitoring of air quality across urban areas. environment. Comprehensive Air Quality Monitoring: Implement advanced AI Regulatory Compliance Monitoring: Leverage AI to streamline the systems for ongoing air quality monitoring. These systems analyze data to process of monitoring and ensuring compliance with air quality identify trends and correlations between high-pollution areas and regulations. This automation enhances accuracy and efficiency in vulnerable populations, facilitating targeted environmental health reporting, helping regulatory bodies maintain high environmental interventions. standards. Health Impact Assessment Models: Employ AI models to meticulously Sensor Network Optimization: Use AI algorithms for strategic evaluate the health impacts of various air pollutants. This approach aids placement of air quality sensors throughout the city. This optimization in formulating targeted health interventions and policies to mitigate the ensures the most effective and accurate collection of air quality data, effects of air pollution on public health. enhancing the overall monitoring network. Integration with Urban Planning: Seamlessly integrate AI-derived Weather Pattern Analysis: Integrate AI with meteorological data insights into urban planning processes. Use these insights for informed analysis to understand how weather influences air quality. This fusion 20 Implementation Actions enhances predictive capabilities, aiding in the anticipation and Crisis Call Voice Recognition: Implement AI-powered voice recognition management of pollution-related challenges. in emergency call systems to swiftly process information. This integration aids emergency responders by providing faster, more informed responses to crises, improving overall efficiency and effectiveness in emergencies. City Crisis Image and Video Analysis: Utilize AI for enhanced analysis of Communications media during crises, organizing and examining data to assess severity and unforeseen challenges. This aids responders in devising safe, effective AI Close-Captioning: Implement AI close- action plans, and ensuring a comprehensive response. captioning technologies for enhancing accessibility in public meetings, events, and Crisis Interoperability and Data Sharing: Foster collaboration between online media. This technology will enable different jurisdictions and agencies using AI for data analysis and sharing real-time captioning, making content more during crises. This approach enhances effectiveness and coordination inclusive for individuals with hearing among emergency responders, ensuring a unified and efficient response impairments. to emergencies. AI-Enhanced Subtitle and Captioning Services: Implement AI for Crisis Multilingual and Accessible Communication: Use Natural subtitles and captions in city planning video content, ensuring Language Processing (NLP) AI systems to ensure crisis communication is accessibility for individuals with hearing impairments and enhancing multilingual and accessible. This guarantees that all individuals, content consumption for a broader audience. regardless of language, are effectively reached and kept safe during emergencies. AI-Powered Multilingual Chatbots: Introduce multilingual chatbots with natural language processing for city planning information Crisis Predictive Analytics: Apply AI-enhanced predictive analytics to dissemination. This reduces language barriers, ensuring that a diverse prepare for crises before they occur. This allows for early awareness and audience can access information easily and effectively. preemptive actions to minimize danger and damage, enhancing community preparedness and resilience. Audio Descriptions for Visual Content: Employ AI to generate audio descriptions for visual city planning content, making it accessible for Crisis Real-time Sentiment Analysis: Analyze social media using AI to individuals with visual impairments and catering to those who prefer identify potential crises and public sentiment. This comprehensive audio information. analysis aids in evaluating emergencies and tailoring response strategies based on public mood and media input. Crisis Automated Feedback: Enhance real-time crisis response strategies using AI for automated feedback analysis. This AI enhancement Crisis Real-time Social Media Engagement: Monitor social media in adapts responses based on previous inputs, creating inclusive and real-time with AI tools for swift responses to public sentiment and efficient action plans that dynamically respond to ongoing situations. emerging trends. This facilitates quick misinformation management and fosters community engagement through timely online interaction. 21 Implementation Actions Dynamic Infographics with AI-Generated Alt Text: Create adaptable and offering personalized crisis communication based on user-specific infographics with AI-generated alternative text, enhancing accessibility needs and locations. for screen reader users. This approach ensures that visual information is comprehensible and inclusive. Rapid Personalized Response Warnings: Utilize AI to quickly process crisis information, enabling rapid response and proactive public Emergency Management AI Alerts: Create AI-enhanced platforms for communication. AI’s speed in evaluating evolving situations allows for sending targeted alerts and updates during emergencies. This ensures tailored warnings considering factors like location, identity, and language. effective communication across multiple channels, including text, email, and social media, reaching affected populations promptly and efficiently. Simplified Information through Natural Language Generation: Use Natural Language Generation to automatically simplify complex city Free WiFi Expansion: Expand free public WiFi to provide universal planning concepts into plain language, catering to a diverse audience with access to vital information and services. This initiative democratizes varying understanding levels. connectivity, enhancing inclusivity in the digital landscape of the urban environment. Text Summarization: Apply AI-driven text summarization tools to condense lengthy city planning documents into brief, easy-to-understand Interactive Chatbot Platforms: Develop immediate-access, AI-powered summaries, facilitating quick comprehension of key points. chatbot platforms for information and guidance on city planning. This offers residents an efficient way to obtain information and stay updated. Voice Assistants in Multiple Languages: Offer online and phone AI voice assistants in various languages to assist a wide range of individuals, Interactive Tactile Displays: Create AI-driven tactile displays for city including those with ESL needs and hearing impairments. planning, offering a tangible, interactive way for users to understand urban development initiatives, especially beneficial for individuals with Voice User Interfaces for Information Retrieval: Integrate AI-powered different learning preferences. voice user interfaces in city planning platforms, enabling hands-free, verbal information requests and catering to users who prefer or require Personalized Information Delivery with Recommender Systems: voice interactions. Implement AI-based recommender systems to deliver tailored information on city planning to residents, ensuring they receive updates Climate Change relevant to their specific interests and concerns. Predictive Text for Search and Navigation: Integrate predictive text in Adaptation through AI-Driven Climate city planning websites, enhancing user efficiency in finding relevant Analysis: Employ AI to analyze climate information and making key topics more accessible. data and predict extreme weather events. This helps cities adapt and respond more Public Information Chatbots: Deploy AI-enhanced chatbots for effectively to climate-related challenges, responsive public communication during crises. These chatbots provide ensuring better preparedness for rapid, helpful responses, relieving emergency lines for critical situations environmental changes. 22 Implementation Actions AI-Optimized Green Spaces for Cooling: Use AI algorithms to identify Community Engagement through AI Data Analysis: Use AI to gather potential areas for green spaces, maximizing vegetation cover to mitigate and analyze citizens’ concerns and suggestions. This creates a valuable the urban heat island effect. database that can inform government agencies and policymakers, leading to more responsive and effective climate-related decisions in the city. Air Quality Monitoring with Wearable Technology: Utilize wearable technologies like AirBeam3 for street-level air quality data collection. This Construction Management: Apply AI to identify alternative sustainable approach offers a cost-effective, accurate alternative to traditional building materials and suitable locations based on factors like water and expensive equipment, enhancing urban air quality monitoring and solar availability. This approach enhances the sustainability of management. construction projects and supports environmentally friendly urban development. Building Design for Heat Mitigation: Utilize AI to inform architectural designs that incorporate natural cooling mechanisms. AI simulations can Design Optimization and Decision Support: Employ AI algorithms to guide the selection of features like green roofs and reflective surfaces for optimize design parameters for climate-positive goals, such as energy better urban climate resilience. efficiency and carbon emission reduction. These algorithms support informed decision-making by considering multiple variables. Carbon Monitoring Using Traffic Cameras: Integrate AI with existing traffic cameras for vehicle emissions monitoring. This can aid in Disaster Management: Utilize AI, as seen in tools like Oregon Explorer’s identifying vehicles for fines and assist in traffic control using Wildfire Risk Explorer Map, to forecast disasters, prepare mitigation technologies like IMTS and AIMS, contributing to better urban air plans, and minimize damages, enhancing the city’s resilience to climate- quality. induced emergencies. Climate Data Collection and Analysis: Leverage AI to process large Dynamic Urban Planning with AI: Employ AI tools for urban planning amounts of environmental data, such as climate, energy consumption, that consider heat dispersion, wind patterns, and solar exposure. This and emissions. This helps in evaluating the current state of urban projects creates cooler microenvironments and enhances urban climate and identifying areas for ecological improvements. adaptability. Climate-Responsive Materials via AI: Integrate AI in material science Early Warning Systems for Heat Waves: Develop AI-based systems to research to develop construction materials that are climate-responsive. predict and communicate about extreme heat events. This enables timely These materials should reflect sunlight and absorb less heat, aiding in actions by residents, businesses, and emergency services to mitigate heat urban cooling. impacts. Community Engagement for Urban Heat Island Mitigation: Leverage Energy Management with AI: Combine AI with existing building energy AI for community outreach on the urban heat island effect. AI can aid in management systems, like Flex2X, for more efficient electricity usage. This educating residents and promoting collective actions like tree planting integration can significantly reduce energy consumption and emissions in and energy efficiency. urban environments. 23 Implementation Actions Intelligent Cooling Infrastructure via AI: Integrate AI in managing water use in urban green areas for optimal vegetation health and urban cooling infrastructure, such as smart shading systems, to adapt cooling. dynamically to weather changes and optimize energy use for effective heat reduction. Street Design with AI: Use AI for automated design iterations in street planning, employing tools like Urbanistai. This facilitates efficient and Localized Climate Change Analysis with AI: Use AI to analyze innovative street design processes. localized climate changes, especially in urban heat and density variations. Tracking temperature disparities aids in formulating urban development Sustainable Transportation with AI: Develop AI-based traffic policies to cool warmer areas, promoting climate resilience. management systems to reduce congestion and emissions, promoting sustainable urban mobility and reducing heat production in cities. Mitigating Urban Heat Island Effect with AI: Deploy AI to analyze and counteract the urban heat island effect. AI-driven strategies like Urban Agriculture: Integrate AI in agriculture through smart machines developing green infrastructure and cool pavements can effectively like laserweeders and user-friendly software apps. This enhances reduce heat exposure in urban areas. agricultural efficiency and contributes to urban sustainability. Monitoring and Feedback Post-Design Implementation: After Waste Management: Use AI and smart cameras to improve waste implementing climate-positive designs, use AI to continuously monitor separation, addressing contamination issues in recycling and reducing and analyze performance data. This ensures that the designs are operational costs. effectively meeting their intended environmental goals. Water Management with AI: Implement AI to analyze water cycle data, Monitoring Heat-Prone Areas with AI: Implement AI-driven systems monitor quality, track usage, and detect infrastructure errors. to identify and analyze heat-prone urban zones in real time. This allows Technologies like Aquetech Amsterdam’s GoAigua facilitate efficient water for targeted interventions like cooling stations or infrastructure upgrades management in urban settings. in these areas. Community Predictive Analytics for Long-Term Performance: Utilize AI to predict the long-term performance of urban designs. This helps in assessing the sustainability and effectiveness of climate-positive strategies over time. Education Simulation and Modeling for Climate-Responsive Design: Apply AI- AI Chatbots for Legislative Assistance: powered tools for virtual testing of different design scenarios. AI can Integrate AI chatbots to provide simulate the impacts of changes in building orientation, materials, and personalized assistance with legislative energy systems on energy consumption and emissions. inquiries. This tool can offer instant, accurate information about city laws and Smart Irrigation Systems Powered by AI: Deploy AI-driven irrigation policies, enhancing public understanding systems that adjust to weather and soil conditions, ensuring efficient and engagement. 24 Implementation Actions AI Education for City Planners and Public Officials: Educate city opportunities. This approach is crucial for fostering skills necessary for planners and officials about AI capabilities and data-driven decision- green city initiatives and understanding the importance of unbiased AI making. This will ensure the sustainable integration of technology in algorithms. urban planning. Regular knowledge sharing and training sessions are vital for maximizing AI’s benefits in city development and governance. Evaluations of AI-Driven Civic Education Tools: Regularly evaluate the effectiveness of AI-powered civic education tools. Continuous AI-Powered Environmental Education Programs: Develop AI-driven assessments and improvements will enhance the impact and relevance of educational programs to bridge knowledge gaps about green these educational resources for the community. infrastructure and environmental justice. Customized AI tools can help communities understand complex environmental issues and the Extended Reality for Outdoor Connection: Implement virtual and significance of sustainable urban spaces. augmented reality applications, powered by AI, to create virtual biophilic experiences. This can foster a stronger connection to the outdoors and Biophilic Data Visualization Education: Use AI to transform enhance environmental awareness in urban settings. environmental data into visually appealing formats. Interactive displays or projections showing real-time air quality, natural light levels, or plant Gamification in Community Education: Integrate gamification health can engagingly educate the public, emphasizing the connection elements into community education tools to increase user engagement. between urban living and nature. Gamified learning experiences can make civic and environmental education more interactive and enjoyable. Collaborative AI-Powered Sustainable Design Education: Employ AI- powered tools to educate designers and stakeholders about sustainable Interactive Platforms for Citizen-Government Communication: design principles. This approach fosters collaboration and knowledge- Develop interactive platforms to facilitate communication between sharing, promoting innovative and environmentally friendly urban citizens and government. These platforms can serve as a medium for development practices. public feedback, inquiries, and participation in civic discussions. Data Analytics for Community Interest Identification: Utilize data Online Civic Education Courses: Offer a range of online courses on analytics to pinpoint citizens’ interests and concerns. This information civics, tailored to different demographics. This approach ensures diverse can guide the development of community programs and initiatives, community groups have access to civic education, promoting wider public ensuring they align with public needs and preferences. participation in urban governance. Educational Institution Collaboration for Civic Education: Partner Real-Time Legislative Updates via Mobile Apps: Provide real-time with educational institutions to develop curricula focused on civic updates on legislation and city policies through mobile applications. This education. This collaboration can help disseminate knowledge about ensures that residents stay informed about changes and developments in urban planning and civic responsibilities more effectively. their community. Equitable Education Programs via AI: Use AI to identify educational Simplifying Legal Documents with Natural Language Processing: disparities and develop programs that ensure equal access to learning Employ natural language processing to make legal documents more accessible to the public. This technology can translate complex legal 25 Implementation Actions language into simpler terms, enhancing public understanding of laws and Cultural Preservation in Green Projects: Employ AI to analyze and regulations. preserve cultural heritage, especially in green infrastructure projects. AI can facilitate language translations and community events, ensuring Virtual Simulations for Legislative Education: Create virtual projects address environmental justice while maintaining cultural simulations to demonstrate the legislative decision-making process. identities. These simulations can offer an immersive experience, helping the public understand the complexities and considerations involved in urban policy Eco-Friendly City Planning: Leverage AI to engage communities in development. environmentally sustainable planning. Tools like AI-powered chatbots, as used in Denver, can gather resident feedback efficiently, ensuring plans resonate with the community’s diverse needs while reducing biases. Community Enhanced Community Communication with AI Platforms: Utilize AI Engagement platforms to improve communication and engagement within the community. These platforms can analyze feedback and tailor Accessible Public Information on AI communication strategies to reach diverse groups effectively. Use: Make information about AI use in government transparent and accessible. Gamification for Engaging Community Participation: Develop Highlight AI applications in multilingual gamified platforms to make citizen participation in urban planning more articles on municipal websites to ensure enjoyable and engaging. This can increase involvement and make community awareness and understanding. community engagement more effective. AI Platforms for Environmental Engagement: Develop AI-driven Identifying Underrepresented Groups with AI Platforms: Use AI- platforms to engage citizens in environmental initiatives. These platforms powered platforms for community engagement and analysis to identify can promote awareness and participation in sustainable practices such as underrepresented groups. This ensures inclusive urban planning that tree planting and waste reduction, enhancing community involvement in addresses the needs of all community segments. green projects. Inclusive Participation with AI-Driven Tools: Integrate AI-driven tools Building Trust in AI through Public Awareness: Run public campaigns to enable inclusive participation in land use planning. This approach, as highlighting AI success stories to build trust in the technology. Detailing advocated by Goldblatt, ensures equitable urban development by AI’s potential in community development can help overcome any existing involving diverse stakeholders. skepticism and foster a positive perception of AI. Interactive AI-Driven Platforms for Community Engagement: Community-Driven Design with AI Data: Use collected data to Develop platforms with AI-driven chatbots to enhance community generate urban design suggestions based on citizen feedback. This interaction and inclusivity. These platforms can serve as a user-friendly collaborative method ensures community members actively contribute to medium for residents to engage with city initiatives and provide feedback. shaping their environment. 26 Implementation Actions Mobile Apps for Data Collection: Implement AI-enabled mobile Public-Private Partnerships for AI Innovation: Foster collaborations applications to encourage grassroots data collection. This approach between public entities, tech companies, and academia to drive AI ensures that local insights and concerns are reflected in urban planning innovations for sustainable urban planning and green infrastructure processes. development. Photo-Elicited AI Interviews for Community Engagement: Combine Reports for Community Insight: Utilize generative AI to create clear, photo-elicited interviews with AI technology to engage community accessible reports from complex urban planning data. This approach can members in reflecting on urban challenges. This method promotes help communicate insights effectively to the public, fostering engagement dialogue and informs policymaking, aiding in just urban transitions. and transparency. Platform for Community Engagement: Develop an AI-powered Sentiment Analysis for Community Perceptions: Deploy advanced platform to facilitate residents’ reporting of issues and involvement in the natural language processing for sentiment analysis. This gives planners planning process. This can bridge the gap between city officials and insights into community views on proposed projects and policies, aiding residents, ensuring more efficient addressing of community needs. in responsive urban development. Platforms for Democratic Engagement: Create AI-driven platforms to Tailoring AI for Diverse Community Needs: Focus on customizing AI enhance community engagement and participation in decision-making. solutions to address the varied needs of Salem’s diverse population. This ensures all residents’ voices are heard in urban planning processes. Regular training sessions for officials to gather and incorporate community feedback will ensure AI-driven urban planning aligns with Promoting Community Involvement in AI Solutions: Actively actual community requirements. encourage community participation in AI development and application. Getting residents involved in AI usage can ensure local needs are met, Tracking Public Trends and Concerns: Utilize AI to monitor and fostering a sense of unity and shared purpose in urban development. report on public trends and concerns relevant to urban planning. This approach ensures community involvement and addresses local issues Promoting Community Projects through AI: Encourage community effectively. initiatives like community gardens by integrating citizen suggestions gathered through AI platforms. This approach channels community drive Virtual Reality Workshops for Urban Planning: Organize VR-based into constructive, sustainable projects. workshops to engage citizens in urban planning interactively. Use tools like Smart City Digital Twins and 3D models to create immersive planning Public Awareness Campaigns on AI: Conduct public awareness experiences. [see Urban Planning] campaigns to educate the community about AI’s benefits, limitations, and functions. This enhances public understanding and acceptance of AI technologies. Public Workshops: Use AI to enhance public workshops by compiling and summarizing feedback instantly. This aids in more productive discussions and effective decision-making processes. 27 Implementation Actions AI-Powered Emergency Communication Systems: Implement AI Emergency communication systems capable of handling large message volumes, prioritizing crucial information, and ensuring efficient communication Management among responders. This technology can significantly enhance the responsiveness and effectiveness of emergency management operations. Addressing Gaps in Emergency [see City Communications] Communication: Identify challenges in current emergency communication systems Collaborative Approach in AI-Driven Emergency Management: and develop a detailed implementation Foster collaboration between AI researchers, emergency responders, plan. This plan should include compliance government agencies, and technology companies. This unified approach with regulations and laws on data privacy ensures the coordinated and effective use of AI in emergency and security and outline the steps, timeline, and resources needed for AI communications and responses. integration in emergency communications. [see City Communications] Continuous Improvement of Emergency Models: Regularly update AI Algorithms for Resource Allocation: Implement AI algorithms to and refine emergency management models with new data and insights optimize the distribution of emergency resources like rescue teams and gained from past emergencies. This continuous improvement ensures medical supplies. By analyzing real-time demand and predictive data, that emergency response strategies remain current and effective. these algorithms can significantly improve the efficiency of emergency Guidelines for AI Use in Emergency Management: Establish clear responses. guidelines for AI usage in emergencies, focusing on data privacy, bias AI for Efficient Emergency Call Routing: Use AI to streamline the mitigation, and the necessary level of human oversight. These guidelines routing process in emergency call centers, reducing response times. This will ensure responsible and ethical use of AI in critical situations. technology can improve the speed and accuracy of connecting emergency Machine Learning for Disaster Prediction and Response: Integrate calls to appropriate responders. [see City Communications] machine learning algorithms with emergency management systems for AI for Multilingual Emergency Communication: Utilize AI to translate more effective prediction and response to natural disasters. Enhanced emergency communications into multiple languages, ensuring effective predictive capabilities offer crucial lead time for evacuations and efficient communication with diverse populations during emergencies. This resource allocation. approach enhances inclusivity and clarity in critical situations. [see City Predictive AI Models for Emergencies: Develop AI models that predict Communications] natural disasters and disease outbreaks using historical and real-time AI-Driven Early Warning Systems: Implement AI to provide early data. These predictive models should be capable of forecasting the warnings for natural disasters like earthquakes and floods. This severity and potential impact of emergencies, aiding in proactive technology can significantly improve emergency response times, preparation and response strategies. potentially saving lives and reducing the impact of disasters. 28 Implementation Actions Public Education on AI-Enabled Emergency Systems: Develop Food Donation Platform: Develop a centralized platform connecting educational campaigns about AI-enabled emergency communication food businesses with surplus items to organizations in need. AI can match systems. Explain their workings and benefits to the public and maintain food donations with specific organizational requirements, enhancing food transparency regarding AI’s role in emergency communications to build security and reducing waste. public trust. Food Education and Outreach: Launch educational initiatives using AI for food waste reduction and gardening awareness. AI chatbots can Food provide interactive gardening lessons and tips, tailored to individual inquiries. Collaborate with educational institutions to develop AI-driven Community Garden Planning: Install AI content and city-wide campaigns. tools in community gardens for soil analysis, climate data assessment, and plant Food Waste Analytics Dashboard: Create an AI-powered analytics compatibility. AI can recommend plant dashboard providing insights into food waste, recycling rates, and garden types, layout, and watering schedules, productivity. This tool aids city officials and residents in data-driven enhancing garden productivity. Include decision-making. Collaborate with data scientists to develop a agricultural experts and local gardeners for comprehensive and accessible dashboard. additional insights and practical knowledge Food Waste Recycling App: Develop a mobile app with AI features to about native plants. educate residents about food waste recycling. Incorporate tips, waste Composting Monitoring with AI: Implement AI systems to monitor reduction tracking, and rewards for participation. Partner with app composting conditions, using sensors to track temperature, moisture, and developers to create an intuitive and educational platform, incentivizing aeration. This technology ensures optimal composting, enhancing plant community engagement in waste management. growth. Collaboration with composting experts for sensor installation can Harvest and Distribution Coordination: Create an AI platform to further optimize compost management. synchronize harvest timings from various sources, reducing waste and Drones for Garden Maintenance: Use AI-equipped drones [autonous ensuring the consistent availability of fresh produce. This system can also aerial and ground vehicles] for garden health monitoring, identifying optimize transport routes for efficiency. pests and nutrient deficiencies for timely intervention. Collaborate with Predictive Food Waste Collection Routes: Utilize AI to analyze food drone technology companies to train operators in plant health waste generation patterns, creating efficient collection routes for monitoring, ensuring sustainable garden maintenance. composting. Collaborate with waste management and data analysis teams Dynamic Food Distribution Networks: Establish AI-driven food to develop predictive algorithms for optimized collection. distribution networks that adapt to changing supply and demand, Smart Waste Bins: Install smart bins with AI technology to segregate reducing food waste and improving food security. This system ensures food waste for recycling. Collaborate with local businesses and residents efficient resource allocation to areas with the highest need. 29 Implementation Actions for effective usage and maintenance of these bins, ensuring efficient waste only beautifies the area but also serves as a medium for art education and management. community expression. Sorting Facilities for Food Waste: Set up recycling facilities with AI Biodiversity Monitoring and Conservation: Implement AI systems, sorting systems to categorize food waste for composting. Implement including drones with AI algorithms, to survey green spaces. This technologies like robotic arms and AI-controlled conveyor belts for technology can identify plant species and assess their condition, aiding efficient waste sorting, ensuring high operational standards. conservation efforts and ensuring biodiversity in urban areas. Central Open Spaces for Community Events: Design open central Green Space areas in green spaces for community events, dancing, and activities. This creates a versatile and engaging environment for public gatherings and Accessible Sensory Locations in Green recreational activities. Spaces: Design sensory locations that are accessible and cater to various sensory Citizen Engagement Platforms in Green Space Planning: Develop AI- experiences, such as water features, shaded supported platforms for citizen involvement in green space planning and areas, and scenic views. This inclusivity can maintenance. This engagement can foster a sense of community enhance the enjoyment and benefits of ownership and stewardship over local green areas. green spaces for all visitors. Climate Adaptation in Green Spaces: Integrate AI models to develop Air Quality Improvement with AI- climate adaptation strategies for green spaces. These models can predict Driven Plant Selection: Develop AI models to recommend native plants environmental changes and help establish resilience against extreme for air purification. This strategic planting can enhance air quality in areas weather, ensuring the longevity of green areas. with pollution concerns, utilizing green spaces as natural air filters. Community Gardens as Green Spaces: Establish community gardens in Air Quality Monitoring for Public Awareness and Research: Monitor green spaces, considering factors like sunlight and shade. These gardens and create a research database on air quality in green spaces. This can be single or multiple locations, promoting community involvement information can inform public health initiatives and contribute to and local food production. environmental research. Data-Driven Decision Making for Green Spaces: Advocate for AI Air Quality Monitoring in Green Spaces: Implement AI systems to analytics in decision-making regarding green space management. This continuously monitor air quality, tracking pollutants and particulate data-driven approach can optimize resource allocation and maintenance matter. This ensures green spaces contribute effectively to urban air strategies. quality improvement. Demographic Data for Green Space Optimization: Collect and Art Integration in Green Spaces: Enhance parks and pathways by analyze demographic data to tailor green spaces to the needs of frequent featuring local art, such as sign cookies, quotes, and paintings. This not users. This ensures that these areas are designed and maintained according to community preferences and requirements. 30 Implementation Actions Designated Areas for People Watching: Create designated spots for Green Space Maintenance Optimization: Develop AI algorithms to people-watching in parks and gardens. These areas can offer both lively optimize maintenance schedules in urban green spaces. This can consider social spaces and secluded spots for solitude, catering to various visitor plant growth patterns, seasonal changes, and specific care needs, ensuring preferences. efficient and effective upkeep. Disease Identification in Plants via Mobile Apps: Use smartphone Green Space Maintenance: Use AI to monitor vegetation health, apps to help identify plant diseases. This tool can aid in the early ensuring timely maintenance in parks and public spaces. This proactive detection and treatment of plant ailments, maintaining the health of approach can improve the overall health and appearance of green areas. green spaces. Heat Monitoring in Green Spaces: Monitor temperature fluctuations in Enhancing Green Space Design with ArcGIS Urban: Apply ArcGIS green spaces, collecting data to alert the public about significant Urban technology to dynamically design adaptable green spaces. This temperature changes. This can inform safety measures and recreational advanced tool can evolve designs based on community feedback and planning. environmental changes, ensuring green spaces meet current and future needs. Incentives for Green Technology Adoption: Offer incentives for adopting AI solutions in water conservation and biodiversity management Equitable Access to AI-Managed Green Spaces: Develop policies to in green spaces. This can encourage the use of advanced technology for ensure equal distribution of AI-managed green spaces across diverse sustainable urban ecology. neighborhoods. This approach addresses disparities in access to nature, promoting social and environmental justice. Inclusive Green Space Design: Optimize green space planning with AI to cater to diverse community needs and address environmental justice. Expanding AI in Biodiversity Monitoring: Utilize AI to monitor This approach ensures green spaces are accessible and beneficial to all biodiversity changes, track endangered species, and inform conservation community members. strategies. AI’s ability to analyze large data sets can provide valuable insights for biodiversity preservation in urban areas. Interactive Educational Stations in Green Spaces: Create interactive stations in parks and gardens, such as crop mazes or educational signs. Green Infrastructure Planning: Employ AI in planning and maintaining These installations can provide engaging learning opportunities for biophilic designs, ensuring sustainable and accessible green spaces. This visitors in the absence of guides. technological aid can enhance the health benefits and ecological impact of urban greenery. Invasive Species Detection: Implement AI-powered image recognition to identify invasive plant species, facilitating early intervention. This Green Space Information App: Develop a mobile app to guide visitors technology can protect native ecosystems from invasive threats and through parks and gardens. Features could include location tracking, maintain ecological balance in green spaces. interactive maps, and a chat function for assistance, enhancing the visitor experience and providing essential information. Mapping Green Spaces: Employ ArcGIS Insights for detailed, AI-driven mapping of green spaces. This tool can highlight existing green areas and 31 Implementation Actions potential new sites, aiding in effective urban planning and community plant’s needs, enhancing the health and beauty of botanical gardens and access to natural settings. parks. Monitoring Green Space Equipment: Implement monitoring systems Plant Identification in Green Spaces: Employ smart plant for maintenance equipment in green spaces. This ensures timely upkeep identification systems to recognize various plant species. This technology and efficient operation of tools used in park maintenance. can aid in educational efforts and biodiversity management in botanical gardens and parks. Monitoring Tree Safety with Darts: Deploy monitoring darts in overhanging trees to enhance safety along sidewalks. This proactive Predictive Maintenance for Indoor Greenery: Implement AI for approach can prevent accidents and maintain public safety in green areas. predictive maintenance of indoor greenery and water features. This technology can detect potential issues early, preventing significant Natural Resource Management: Design AI systems to analyze and problems and maintaining the health of biophilic elements. preserve natural resources in green space design projects. This can help balance water usage, green space allocation, and biodiversity, Replacing Traditional Lamp Posts with Smart Lighting: Upgrade contributing to sustainable urban landscapes. traditional lamp posts to smart lighting systems in green spaces. This technology can optimize lighting based on environmental conditions and Neighborhood Surveillance for Safety: Implement surveillance systems visitor presence, enhancing energy efficiency and safety. to enhance safety in neighborhoods with green spaces. This can create a secure environment for residents, encouraging the use of these natural Satellite Imagery for Green Space Development: Use satellite imagery areas. to identify unused urban areas for green space development. This technology can help locate potential sites for new parks and gardens, OpenVINO Technology for Pest Monitoring: Utilize OpenVINO enhancing urban green coverage. Utilize satellite imagery to assess the technology to monitor and manage pests in green spaces. This advanced effectiveness of green spaces, gathering data on biodiversity, maintenance tool can enhance pest control efforts, protecting plant health and needs, and usage patterns. This technology can inform improvements and biodiversity. strategic planning. Optimized Plant Selection with Tree Wizard: Use Tree Wizard for Smart Fertilization Systems Guided: Use AI-driven systems to plant selection in urban green spaces. This tool can suggest species based determine the optimal fertilizer amount and type for plants. This on local conditions, ensuring healthy and sustainable urban vegetation. precision approach can enhance plant health and sustainability in Performance Monitoring of AI-Managed Green Spaces: Establish botanical gardens and parks. regular monitoring and public reporting standards for AI-based green Smart Laser Weeding in Community Gardens: Use intelligent laser space management. This transparency can assess the effectiveness and weeding technology to manage invasive plants in community gardens. public satisfaction with these initiatives. This innovative approach can maintain garden health without the use of Plant Care Robots: Deploy smart robots with AI capabilities to monitor harmful chemicals. and care for plants. These robots can provide tailored attention to each 32 Implementation Actions Smart Light Management: Apply AI to manage lighting conditions for plants in botanical gardens and parks, optimizing light exposure for plant Health and Safety health and growth. Augmented Telehealth and Mental Smart Pest Management Systems: Implement AI-powered pest Health Care: Leverage IoT for augmented management systems in botanical gardens and parks. This technology can telehealth services, offering personalized detect and control pest infestations, maintaining the health of plant mental health care and encouraging ecosystems. individuals without primary care providers to seek treatment. Smart Plant Disease Detection Systems: Implement AI-powered systems to identify plant diseases. This early detection can inform timely Automated Drug Testing and treatment, maintaining the health of plants in botanical gardens and Counseling Centers: Introduce AI-driven parks. centers for drug testing and virtual counseling. These facilities can offer accessible support for individuals dealing with substance abuse, using AI Smart Plant Growth Prediction: Use AI-driven systems to forecast plant for diagnostics and guidance. growth patterns. This can inform maintenance and design decisions in botanical gardens and parks, ensuring optimal plant development. Building Earthquake Reinforcement: Strengthen existing buildings against earthquakes using AI-informed structural enhancements. This Smart Pruning Systems: Use AI-driven systems to determine the best proactive measure can significantly increase safety during seismic events. pruning times and methods for plants. This can ensure optimal plant care and appearance in botanical gardens and parks. Care Plans: Develop a machine learning model utilizing historical patient data. This can help create effective care plans by analyzing the success Water Management in Community Gardens: Implement rainwater rates of treatments across different demographics, thereby aiding medical collection systems in community gardens, possibly extending to filtered professionals in crafting tailored treatment strategies. water fountains for public use. This promotes sustainable water use and enhances the functionality of garden spaces. Climate and Urban Heat Mitigation: Implement a city-wide AI model to analyze climate data and pinpoint hotter areas. This information can Wildlife Conservation in Green Spaces: Develop policies supporting AI guide the strategic design of green spaces to mitigate heat-related health use in wildlife monitoring and habitat protection. This can help mitigate risks in urban environments. [see Climate Change] conflicts between humans and wildlife and preserve natural habitats within green spaces. Climate Control Systems: Develop AI-driven climate control systems for HVAC, optimizing temperature and humidity based on occupant preferences and external conditions. This enhances comfort and efficiency in indoor environments. 33 Implementation Actions Community Garden Crops: Use AI to determine optimal planting Earthquake Information Platforms: Develop websites with AI schedules in community gardens. This approach can enhance crop yields programs to rapidly disseminate earthquake information to the public. and garden efficiency. Equitable Disaster Preparedness: Use real-time AI sensing for Community Sentiment Analysis: Analyze social media, surveys, and equitable disaster preparedness, focusing on at-risk communities. AI public forums using AI to gauge community sentiment. This can provide predictive analytics can model various environmental risks to inform valuable insights into public health and safety concerns, shaping response plans. responsive and informed policy decisions. Evacuation Routes: Use AI to design evacuation routes to safe refuges Connected Health Monitoring Devices: Place AI-equipped health during major earthquakes, enhancing public safety in crises. monitoring devices in public areas to track vital signs like heart rate and blood pressure. This proactive health screening can identify potential Fax Automation in Healthcare: Implement a machine learning model health issues in the population. to manage incoming faxes in healthcare settings, streamlining the review process and reducing the workload on medical staff. Crime Pattern Analysis: Employ generative AI to analyze crime data, identifying patterns and trends. This can inform targeted crime Full-Scale Infectious Disease Surveillance: Use AI algorithms to prevention strategies and optimize public safety resource allocation. monitor real-time health data, identifying unusual patterns or clusters in public health data, aiding in prompt response to health threats. Disaster Preparedness: Adopt AI in disaster preparedness to efficiently disseminate warnings and manage infrastructure failure risks, potentially Gamification in Public Restrooms: Implement AI sensors in public saving lives and reducing costs. restrooms to encourage cleanliness habits through gamification, improving public hygiene standards. Disaster Risk Assessment: Utilize AI to improve disaster risk assessment and response, ensuring that vulnerable populations are Gamification of Public Spaces with AR: Introduce augmented reality effectively prepared and protected in emergencies. applications in public spaces to gamify physical activities, encouraging healthier lifestyles and reducing health risks. Disease Outbreak Prediction: Implement AI algorithms to predict disease outbreaks from data patterns, enabling timely and preventive Green Network: Employ AI to design a green network throughout cities, health measures by authorities. offering multiple options for environmental enhancement and urban planning. [see Green Space] Earthquake Buffering: Use AI to model soil conditions and identify optimal locations for trees that can buffer seismic activity around Green Space Planning: Explore AI-driven options for locating parks and buildings. green spaces in cities, considering their potential role as community centers in disasters. [see Green Space] Earthquake Early Warning Systems: Implement AI-predicted forecasting systems for earthquake warnings, enhancing public safety and Health Impact Assessments: Implement AI tools for accurate health preparedness. impact assessments of green infrastructure projects, ensuring benefits for marginalized populations and promoting health equity. 34 Implementation Actions Healthcare Access Optimization: Use AI to optimize healthcare employees to manage potential stressors, ensuring a healthy work services, enhancing accessibility, efficiency, and addressing disparities, environment. contributing to healthier urban environments. Natural Language Processing for Care Plans: Implement NLP to Hiring for Healthcare: Integrate AI into the hiring process in healthcare. translate medical jargon in care plans into understandable language, AI can streamline and itemize applicant information, easing the burden helping patients grasp the importance of their treatment and improving on medical professionals involved in recruitment, leading to more adherence to doctor’s instructions. efficient staffing. Natural Soundscapes: Use AI to create natural soundscapes in urban Hygiene Education: Create hygiene education programs tailored to local areas. Implement smart speakers and sound systems to mimic natural demographics or geography using AI, promoting better public health environments, stimulating the senses and enhancing well-being. practices. [see Community Education] Personalized AI Route Planning: Develop smartphone apps with AI to Hygiene Infrastructure Maintenance: Implement AI to optimize the recommend safe and scenic walking or biking routes, while avoiding areas servicing schedule of hygiene infrastructure, improving maintenance with high air pollution, based on user preferences and real-time data. efficiency and public health standards. Predictive Modeling for Hygiene Services: Run AI predictive models Hygiene Infrastructure Usage: Use AI to analyze restroom and trash using current hygiene service data to plan future improvements and can usage data, identifying high-usage areas in need of improved hygiene distributions, ensuring optimal public health infrastructure. infrastructure. Predictive Supply Chain Management: Utilize AI for early detection of Indoor Greenery Management: Plan an indoor greenery management supply chain disruptions in healthcare, allowing for proactive measures to system using AI sensors to monitor plant health, optimizing prevent critical shortages. environmental conditions for plant growth. Private Gamification for Hygiene: Create an AI-powered app to gamify IoT in Healthcare Scheduling: Utilize the Internet of Things to train home restroom usage, providing tailored hygiene education and hospital devices for appointment notifications and scheduling, enhancing encouraging better personal hygiene practices. patient experience and reducing healthcare costs. Public Health Monitoring: Use AI to track public health trends and Medical Monitoring: Develop a machine learning model to work identify at-risk areas, enabling timely healthcare interventions and alongside doctors, reviewing charts, x-rays, labs, and radiology reports. equitable access to healthcare services, particularly in underserved This AI ‘safety net’ aims to catch overlooked details, enhancing patient communities. care. Public Information Campaigns: Develop AI-driven campaigns tailored Mental Health Awareness: Recognize and address mental health to local populations, promoting cleanliness and public health awareness. challenges related to working with AI. Provide resources and support for 35 Implementation Actions Public Restroom Information: Develop an app to inform users about Smart Traffic Signals: Utilize dynamic AI-controlled traffic signals to the location and condition of public restrooms, enhancing public optimize flow and reduce congestion, thus lowering traffic pollution and convenience and health. promoting physical activity. [see Transportation] Public Safety AI Analysis: Utilize AI to analyze public safety records and Smart Waste Detection Sensors: Install sensors to monitor trash levels crime reports. This approach can pinpoint areas of higher crime or safety in bins and restrooms, alerting cleaning services to maintenance needs, risks, aiding in the formulation or modification of public safety policies and enhancing urban cleanliness. covering fire, police, and healthcare sectors. Social Services Optimization: Apply AI to enhance the distribution of Real-Time Air Quality Monitoring: Implement sensors for real-time air social services like food assistance, education, and job placement, quality monitoring, providing accurate, location-based air quality ensuring that marginalized communities receive the necessary support. information to guide outdoor activities. [see Air Quality] Street Monitoring: Install sensors on city vehicles and drones to detect Robotic Process Automation in Healthcare: Introduce RPA systems to areas needing street cleaning, improving urban cleanliness and manage administrative tasks in healthcare, reducing the administrative maintenance. [see Transportation] burden on nursing staff and improving efficiency. Sustainability in Community Gardens: Implement AI systems to Rule-Based Expert Systems for Healthcare Scheduling: Use RBES monitor and improve sustainability practices in community gardens. This with machine learning for efficient healthcare scheduling, ensuring can lead to more environmentally friendly and productive gardening adequate rest and downtime for nurses and doctors. efforts. Seismic-Resistant Design: Employ AI to enhance sustainable, seismic- Tracking of Environmental Health Impacts: Utilize AI to monitor the resistant urban planning, focusing on areas most vulnerable to health impacts of environmental issues, focusing on disproportionately earthquakes. affected groups, and providing targeted healthcare resources. Smart Narcan Deployment: Create an AI system for predictive analysis of opioid overdose hotspots. This ensures the timely availability of Narcan Hospitality and in high-risk areas, potentially saving lives. Tourism Smart Shopping Carts for Healthy Choices: Introduce shopping carts with displays in grocery stores, providing recommendations for local, Community Engagement Platforms in nutritious, and in-season produce, promoting healthier shopping habits. Hospitality: Develop platforms for Smart Streetlights for Public Health Data: Develop intelligent engaging local communities and gathering streetlights that sense pedestrian movement, collecting data on physical feedback on hospitality services. This activity to inform public health interventions. approach enables cities to adapt and improve their hospitality sector based on 36 Implementation Actions insights, ensuring alignment with the evolving needs of residents and Supply Chain Optimization in Hospitality: Improve supply chain visitors. [see Community Engagement] logistics for businesses in the hospitality sector. Ensure efficient and timely delivery, reduce waste, and boost the overall efficiency of the local Dynamic Pricing for Sustainability in Tourism: Implement AI-driven economy. dynamic pricing models in the hospitality industry to encourage guests to opt for eco-friendly choices. This strategy promotes sustainability while Sustainable Supply Chain Management in Hospitality: Integrate AI in catering to varying customer demands. supply chain management to source sustainable and ethically produced goods. Analyze suppliers, monitor product environmental impacts, and Dynamic Resource Allocation in Tourism: Use AI to predict and recommend sustainable alternatives, aligning with the hospitality analyze fluctuations in tourism demand. Allocate resources like staff, business’s sustainability objectives. transportation, and accommodations more efficiently, maximizing service during peak times and minimizing costs in off-peak periods. Housing Energy Efficiency in Accommodations: Enhance energy consumption efficiency in hotels and accommodations using smart technologies like Adequate Housing Demand Forecasting: HVAC systems and lighting controls. This initiative aims to reduce the Implement a comprehensive system using environmental impact of the hospitality industry. housing demand forecasting to analyze population trends, economic factors, and Energy Management Systems in Hospitality: Install sophisticated housing supply. This approach will ensure energy management systems in hotels and restaurants to optimize energy the development of adequate and use. This strategy contributes to sustainable energy consumption and cost affordable housing to meet community savings. needs, addressing both current and future Environmental Impact Reporting for Hospitality: Create housing market dynamics. environmental impact reports for hospitality businesses. These reports AI Applications in Housing: Educate stakeholders in the housing sector highlight sustainability achievements, offer insights for improvement, and about the potential applications of AI in their projects. This education will enhance transparency for customers and stakeholders. help in leveraging AI’s capabilities to enhance housing development Language Translation Services in Hospitality: Offer language processes and outcomes. translation services in hospitality venues to facilitate communication AI Platform Access for Stakeholders: Optimize AI platforms to cater to between staff and international tourists, fostering a more inclusive and the specific needs of diverse stakeholders in the housing sector. This will welcoming atmosphere. improve accessibility and usability, ensuring that various participants can Personalized Visitor Experiences in Hospitality: Leverage data effectively utilize AI tools in their activities. analysis to understand guests’ preferences and behaviors. Use this information to offer tailored recommendations for activities, dining, and entertainment, enhancing the visitor experience. 37 Implementation Actions AI-Enhanced Affordability: Employ AI to identify the best locations for Cost-Effective AI Analysis in Housing: Adopt industry-specific AI tools eco-friendly, affordable housing. This approach aims to cater to diverse to reduce analysis costs and improve outcomes in housing projects. This communities and support inclusive, green urban living environments. can lead to more efficient and effective project execution. Automated Zoning Optimization Tool: Develop a tool using data Developing Sustainable Development AI Platforms: Collaborate with analytics for efficient land use and zoning. This should balance software developers to create AI platforms that support sustainability residential, commercial, and green space needs for sustainable urban goals in housing. development. Dynamic Pricing Optimization: Create AI models for pricing Blockchain and AI for Transparent Financing: Combine blockchain optimization in real time. This will help make housing more competitive technology with AI to create transparent financing platforms. This aims to and affordable by adapting to market conditions. provide clear information on loan terms and eligibility, especially for lower-income consumers. Energy Management for Housing: Integrate AI into energy management systems to optimize consumption in housing developments. Climate Adaptive Housing: Develop AI-driven design solutions for This approach aims to reduce costs and meet energy needs effectively. housing that consider climate change impacts. This includes addressing extreme weather events and rising sea levels to create affordable and Fair Allocation of Housing and Subsidies: Develop AI algorithms to resilient housing structures. allocate affordable housing and subsidies fairly. The focus should be on meeting the specific needs and financial situations of residents, Community-Driven AI Platforms: Build AI platforms that involve promoting social inclusion. communities in decision-making for housing initiatives. This ensures alignment with resident needs and aspirations for sustainable and Homeless Prevention: Develop a predictive analytics model to identify affordable housing. early warning signs of homelessness. This tool can facilitate proactive support and interventions to prevent homelessness. Content for Urban Planning: Use large language models for generating content in urban planning. This facilitates efficient communication, Incentives for AI-Driven Affordable Development: Explore how AI public engagement, and information dissemination in green city projects. tools can incentivize more affordable and sustainable housing development, aligning technological advancements with housing needs. Contributing to AI Design Best Practices: Share and implement best practices in AI design platforms. This will help ensure superior design Land Use Planning: Utilize AI to analyze geographic and demographic outcomes in the housing sector. data for land use planning. This will help in identifying optimal locations for sustainable and affordable housing, ensuring efficient use of land Cost of Living Analysis: Use AI to efficiently assess housing demand and resources. [see Urban Planning] cost of living. This can provide valuable insights for planning and policy- making in the housing sector. Personalized Property Recommendations: Develop AI algorithms for personalized property recommendations, considering individual preferences, budget limits, and sustainability factors. 38 Implementation Actions Predictive Maintenance for Sustainable Housing: Utilize AI to predict Sustainable Development Economics: Show how AI can be used to and manage maintenance needs in affordable housing units, enhancing achieve sustainability goals in housing development at reasonable costs. their longevity and overall sustainability. Urban Planning for Low-Income Housing: Apply AI to identify Predictive Maintenance in Affordable Housing: Use AI systems for suitable regions for low-income housing. Use data insights to address predictive maintenance in affordable housing, focusing on essential environmental impacts and development needs. systems like HVAC to ensure safety and comfort while minimizing costs. Virtual Housing Application Assistance: Launch a virtual assistance Property Valuation Models: Implement AI algorithms for accurate and program to help individuals navigate housing applications. This service transparent property valuation. This will ensure fairness and equity in should provide comprehensive guidance, addressing common questions housing prices, benefiting both buyers and sellers. and barriers like language or technology issues. Reducing Project Costs: Explore the use of generative AI to lower project costs in the conceptual design phase of housing developments. Infrastructure Risk Prediction in Housing Finance: Use AI models to predict financial Building Automation for Occupant risks in affordable housing projects, considering economic trends and Comfort: Implement AI-driven systems in potential challenges. buildings to automatically adjust lighting and temperature based on real-time Smart Resource Allocation for Homeless Shelters: Create a real-time occupancy, optimizing comfort and energy data-driven system to efficiently allocate resources in homeless shelters. efficiency. This system should assess current demands to distribute supplies and funding effectively. Building Material Selection: Apply AI to assist in choosing sustainable and low- Streamlining the Building Permit Process: Encourage the adoption of carbon building materials, considering embodied carbon, life cycle AI to streamline building permit approvals, making the process more assessments, and environmental impact. efficient and less cumbersome. Comprehensive Planning for Street Light Upgrade: Define clear Supply Chain Management for Construction: Enhance the efficiency objectives and requirements for the street light project, including energy of supply chain management in construction using AI. This involves savings, traffic monitoring, and crime reporting. Install sensors and predicting material shortages and optimizing logistics for timely, cost- controls for monitoring light levels, motion, weather, traffic, and potential efficient housing development. criminal activity. Sustainable Construction Design: Implement AI in the construction Data Analytics and Adaptive Lighting: Implement data analytics using design process to optimize layouts and methods, focusing on cost- AI for processing information from sensors and cameras. This data will be effective and environmentally friendly solutions. used to create lighting schedules, identify maintenance needs, and 39 Implementation Actions continuously improve the system. Select adaptive lighting technology that incentives, and streamlined processes. This program encourages builders can adjust brightness based on real-time conditions like weather changes. and developers to adopt sustainable construction practices and achieve green building standards. Energy Efficiency and Grid Monitoring: Employ AI for real-time monitoring of energy grids to predict potential supply shortages and Infrastructure Improvement: Leverage AI technologies to enhance city optimize backup energy storage. Utilize smart grid technology to infrastructure by incorporating them in city development projects for efficiently distribute renewable energy sources within the building’s sustainability, resiliency, and regeneration. AI can be used for planning infrastructure. dynamic infrastructure that adapts to population growth, managing energy consumption for efficiency, and ensuring equitable resource Energy Management and Optimization: Deploy AI to optimize energy allocation. consumption in buildings, predict energy demand, integrate renewable energy sources, and manage energy grids efficiently. Analyze energy Innovative AI Applications in Urban Contexts: Train AI to cross- import/export for strategic placement of solar panels and use AI for reference civilian-produced imagery with internet records for climate-adaptive housing to optimize energy usage. authenticity, use AI for predictive modeling in city maintenance, and leverage AI for public transit efficiency by analyzing travel patterns and Enhanced Building Waste Management: Introduce AI-powered waste traffic congestion. sorting systems within buildings to enhance recycling processes and overall waste management efficiency. Pilot Testing and Scaling: Conduct a small-scale implementation to test technology and gather community feedback for adjustments. After Enhanced Surveillance for Cleanliness: Install AI software in both successful pilot testing, scale up the project city-wide with continuous private and public security camera systems to monitor high foot traffic monitoring and maintenance. Engage city officials and residents for areas for common litter, enhancing urban cleanliness and waste feedback throughout the implementation process. management. Predictive Maintenance Systems: Integrate AI in predictive Environmental Sustainability: Use AI for green infrastructure funding, maintenance models to identify potential system failures, facilitating selecting optimal roofs for heat reflection, and planning green roofs and timely repairs and preventing energy waste. This includes optimizing spaces. AI-produced scenarios can be integrated into zoning laws to HVAC systems in response to occupancy patterns and anticipating assess environmental impact, and AI can manage parks by analyzing equipment failures. vegetation health and maintenance needs. Public Safety and Pollution Control: Install AI-powered graffiti Flood Management and Power Grid Safety: Incorporate AI into flood recognition on public cameras, create light maps for safer urban lighting, management systems with intelligent valve and sensor controls. Utilize AI and use AI to analyze air quality sensor data to identify and mitigate to oversee power grids, detect faults, and prevent energy wastage and pollution sources. potential hazards like forest fires. Green Building Assistance and Certification: Offer assistance for green building certification, providing technical support, financial 40 Implementation Actions Public Transportation: Use AI to optimize public transportation by communicate with the centralized system, ensuring reliable and secure analyzing usage data, optimizing routes and schedules, and improving the data transmission. Choose IoT technology that aligns with project goals efficiency and reliability of transit systems. for connecting individual streetlights to this system. Recycling Optimization: Use AI-powered systems to refine waste Sustainability Incentives and Low-Carbon Construction: Introduce a collection and recycling processes. Ensure that these systems promote regulatory framework mandating the use of environmentally conscious recycling and sustainable practices, focusing on reducing overall waste transportation options, such as green vehicles and transport-sharing and encouraging composting initiatives. The goal is to create an equitable programs. Utilize AI-driven material selection to optimize low-carbon and environmentally responsible waste management system across construction materials and techniques based on local resources and various neighborhoods. sustainability. Renewable Energy Integration: Utilize AI for assessing solar exposure, Urban Monitoring: Develop an AI-powered app or website to aggregate wind patterns, and energy demand to optimize the placement of civilian images of deteriorating infrastructure or waste issues. Utilize AI in renewable energy systems. Implement generative AI for strategizing the city vehicles for real-time street mapping and trash detection. Implement integration of renewable energy sources into urban energy systems. AI in monitoring systems for efficient maintenance and predictive analytics in public utilities. Rural Power Infrastructure Expansion: Advocate for the improvement of power supply in rural areas to support sustainable transport solutions, Urban Waste Management: Utilize AI to optimize urban waste including electric and self-driven vehicles. collection routes based on individual bin fill levels, equipped with sensors transmitting weight and fill data to the AI system for efficient route Smart Lighting Integration: Implement AI-driven smart lighting planning. systems in public buildings and streets. These systems should mimic natural light patterns, adjusting color, temperature, and intensity to align Waste Management Optimization: Integrate AI into waste with circadian rhythms. For streetlights, establish a centralized management systems to optimize collection routes and schedules, management system for real-time monitoring and control, featuring significantly reducing environmental impact and increasing efficiency. dimming, scheduling, and fault detection. Employ smart sensors and predictive analytics to further enhance these processes, ensuring equitable waste disposal across all neighborhoods. Smart Waste Management Implementation: Implement AI-enabled technologies for advanced waste sorting. AI can recognize different Water Management: Employ AI to design a more efficient water materials in waste, enabling more efficient sorting and increasing the drainage system. Use AI to model natural floodplains and assess sewer reuse of waste materials. This approach supports recycling initiatives and placements through scenarios, aiming for placements that require minimizes landfill waste. minimal energy to maintain water flow, thereby enhancing urban water management. Street Light System Enhancement: Conduct a city-wide assessment to identify areas needing maintenance and to understand energy consumption. Develop connectivity infrastructure for streetlights to 41 Implementation Actions Comprehensive Urban Mobility Data Integration: Create centralized Mobility platforms to integrate data from various sources like traffic sensors and social media for AI analysis, optimizing overall urban mobility. Advanced Urban Landscape Mapping: Utilize computer vision and geoAI for Dynamic Traffic Management and Maintenance: Employ AI for detailed mapping of sidewalk elements, dynamic traffic signal control and predictive maintenance of vehicles, aiding in the understanding and planning enhancing traffic flow and system reliability. Integrate AI for predictive of urban landscapes. Regularly update analytics in accident-prone areas and demand forecasting to optimize sidewalk maps to reflect environmental transportation schedules. changes accurately. Eco-friendly Mobility Infrastructure: Use AI to plan the integration of Affordable and Efficient Mobility eco-conscious vehicles and optimize routes, reducing the carbon Services: Implement dynamic pricing models using AI to adjust fares footprint. Develop energy-efficient charging stations for bikes and based on demand and individual economic profiles. This makes mobility implement AI for predictive bike maintenance. services more affordable and accessible to a wider range of users. Enhanced Wayfinding in Urban Mobility: Install well-designed signage Autonomous Vehicles and Ride-Sharing Integration: Integrate and directional markers in urban areas to simplify wayfinding. This autonomous vehicles into transportation networks to promote ride- approach not only aids in navigation but also enhances the urban sharing, reduce vehicle numbers, and optimize routes and passenger experience, making public spaces more welcoming and accessible. matching with AI algorithms. Multi-Modal Transportation Integration: Facilitate seamless Bike-Share Equity and Sustainability: Use AI to address equity in bike- integration of different transportation modes, optimizing connections for sharing systems and track the carbon footprint of bike rentals. Develop AI efficient commuting. Include pedestrian and cycling traffic data in urban algorithms for climate-adaptive bike stations and optimize bike planning for enhanced safety and accessibility. redistribution based on usage patterns and environmental conditions. Optimization of Public Transportation: Implement AI algorithms to Communication for Public Mobility: Develop an AI-powered optimize routes, schedules, and capacity for public transportation. Make communication system offering real-time updates for passengers via apps dynamic adjustments based on real-time demand to provide more or at stations, ensuring clarity and reducing confusion. This enhances the efficient services, leading to an improved commuting experience. overall user experience by keeping them informed about schedules, Pedestrian and Cyclist Safety Enhancement: Implement AI-powered delays, and other essential transit information. systems for pedestrian and cyclist detection at intersections, enhancing Community Engagement and Sustainable Mobility: Deploy AI-based safety with smart crosswalks and traffic lights. Use machine learning for data analytics to engage communities in mobility planning, focusing on personalized route recommendations, catering to individual preferences sustainable practices, eco-friendly behaviors, and green route suggestions. and safety. 42 Implementation Actions Performance Evaluation and Stakeholder Engagement: Regularly public transit usage. This includes creating devices and apps for accessible assess the effectiveness of mobility systems in improving user satisfaction. navigation with voice guidance and augmented reality features. Actively seek and incorporate feedback from a diverse range of urban stakeholders to continuously refine and enhance the mobility experience. User Privacy and Data Security in Mobility Systems: Ensure the privacy and security of user data in mobility systems, complying with Public Engagement and Accessibility in Mobility Solutions: Foster ethical and legal standards to maintain trust and protect personal public participation in AI-driven urban mobility solutions, ensuring information. accessibility for all, including individuals with disabilities. Communicate changes effectively to the public. Public Art Public Safety Apps: Create mobile apps using AI that enable pedestrians and cyclists to report safety concerns, receive safety tips, and get real-time Art Installation Planning and alerts about hazardous conditions. This proactive approach improves Interactive Elements: Plan and install AI- public safety in urban areas. integrated public art and weather- responsive lighting systems. Incorporate Real-Time Traffic Monitoring: Utilize AI-powered systems to monitor interactive components like QR codes or traffic in real-time, analyzing data to identify patterns, congestion, and educational elements about weather accidents. This information is crucial for dynamically adjusting traffic patterns to engage visitors. signals and rerouting vehicles, which contributes to smoother traffic flow and provides timely updates to commuters. Biophilic Public Art Design: Use AI algorithms to create nature-inspired art and patterns. These designs Smart Parking Solutions: Develop systems using AI for smart parking should be integrated into interactive and dynamic interior spaces, management. These systems should use sensors and cameras to track enhancing the connection between nature and urban environments. parking availability, guide drivers to open spots, and implement dynamic pricing to optimize parking usage and reduce congestion. Citizen Poetry Engagement and Display: Employ AI to identify original and creative poems from citizens. Display these selected poems in the Surveillance for Public Safety: Install AI-based surveillance systems in areas where they were written, fostering a connection between citizen public transportation fleets and stations to enhance safety by detecting expressions and urban spaces. Additionally, track common keywords in hazards and reducing security threats. these poems to highlight popular sentiments, guiding urban planners and designers. [see Message in a Bottle] Universal Access: Implement AI to design accessible facilities and routes, ensuring inclusivity for people with disabilities. This can involve City Art Database with LLM Protection: Establish a database for local developing apps that provide detailed accessibility information for artists to upload their work, ensuring protection against unauthorized use stations and vehicles. in training models for large language models (LLMs), thereby safeguarding artists’ intellectual property. Urban Mobility Analysis: Apply AI to enhance public transit systems’ tracking, providing real-time updates on services, delays, and encouraging 43 Implementation Actions Digital Engagement through Location Pinning: Utilize location a dynamic and responsive art installation that interacts with changing pinning software on digital maps for citizens to upload poems and weather conditions. photos. This allows users to digitally explore the city and its creative expressions. Public Space Encouraging Poetry through Poetry Boxes: Establish a network of poetry boxes with keyboards and brief poetry courses to encourage citizen Air Quality Monitoring and participation in expressing their thoughts and creativity about their Management: Deploy AI-powered sensors environment. to monitor air quality in real-time, enabling cities to take timely measures to address air Graffiti Transformation and Green Streets Initiative: Transform quality issues, improve public health, and graffiti spaces into public art galleries featuring citizen-generated art. ensure a cleaner urban environment. [see Implement AI-generated images on signs for interactive public art Air Quality] participation. Automated and Efficient Waste Innovative Artistic Concepts and Documentation: Utilize tools like Management: Utilize AI-powered waste management systems to Stable Diffusion for designing unique artistic concepts personalized to the optimize garbage collection routes based on real-time data, reducing location and weather. Document and promote these projects through operational costs and minimizing the environmental impact. [see Waste various media to engage the community. Management] Multidisciplinary Team Formation and Objective Setting: Form a Community Engagement and Feedback: Develop AI-driven platforms diverse team skilled in AI, art, and project management. Clearly define for collecting residents’ feedback on public spaces, including urban the objectives, scope, and intended impact of the AI-integrated public art design, improvements, and issue reporting. Analyze this feedback to project. make informed, community-aligned urban planning decisions. [see Community Engagement] Public Art Database and Community Engagement: Develop a database for local artists to upload their work with legal protection. Dynamic Architecture with AI Control: Implement AI-controlled Encourage unrestricted creativity in content submission to gain diverse dynamic architectural elements, such as responsive facades, movable insights into community sentiments. walls, and retractable roofs, to adapt to changing weather conditions and enhance natural elements in public spaces. Sentiment Analysis and Iterative Testing: Implement advanced sentiment analysis AI, like ChatGPT, to evaluate citizen poems and gather Energy-Efficient AI-Controlled Lighting: Utilize AI for controlling data for urban development. Continuously test and iterate the installation street lighting based on real-time conditions, adjusting brightness based on community feedback and weather pattern reactions. according to foot traffic, weather, and time, contributing to sustainability and cost efficiency. Weather-Responsive Art Elements: Develop an AI model to analyze weather forecasts and adjust lighting systems accordingly. This can create 44 Implementation Actions Fostering Social Interactions: Create pedestrian-friendly urban areas aiming for user-friendly public spaces and efficient resource allocation for with greenery and public art to encourage social interactions and recreational areas. [see Urban Planning] community engagement, making these spaces more inviting and integral to the community fabric. Transportation Optimization of Public Transportation: Employ AI to optimize public transportation routes and schedules, improving the efficiency of bus and Accessible and Efficient Public train systems, reducing wait times, and enhancing transportation Transportation: Utilize AI to design accessibility. accessible, affordable public transportation systems, including on-demand services and Personalized Experience: Employ AI algorithms to customize user optimized routes, especially for people with experiences in public spaces, personalizing elements like lighting and disabilities or those in remote areas. temperature based on individual behavior and preferences. Adaptive Traffic Control: Develop AI- Public Infrastructure Maintenance: Predict maintenance needs for controlled adaptive traffic signals that public infrastructure like roads and buildings using AI, enabling more adjust in real-time to traffic demands, prioritizing higher-traffic streets efficient scheduling of maintenance and reducing disruptions. [see and improving overall traffic flow efficiency. Infrastructure] AI Model Development for Transportation: Collaborate with data Smart Parking Solutions: Implement AI-based parking management scientists and AI experts to develop robust machine learning models, systems to provide real-time information on available parking spaces, ensuring the accuracy and efficiency of transportation-related data helping to reduce traffic congestion and improve urban mobility. analysis. Smart Traffic Management Systems: Use AI-based systems for real- Autonomous Vehicles and Public Transport Integration: Incorporate time traffic data analysis and optimization of traffic light timings, autonomous vehicles in city transportation plans, ensuring seamless dynamically adjusting traffic flow to alleviate congestion and enhance information communication for optimized traffic flow. Enhance AI transportation efficiency. [see Transportation] integration with public transport systems for efficient route planning and scheduling, catering to diverse socio-economic groups. Ensure seamless Surveillance and Safety: Implement autonomous drones equipped with communication among all vehicles for coordinated traffic flow, enhancing AI for real-time surveillance of public spaces to enhance safety and accessibility, and reducing environmental impact. maintenance responses, especially in hard-to-reach areas. Additionally, integrate AI-driven surveillance systems that analyze video feeds to detect Bridge and Road Maintenance: Implement AI in conjunction with unusual activities and potential security threats, improving public safety strategically placed sensors to detect road and bridge issues, allowing for in crowded areas. better resource allocation and maintenance. Urban Design and Planning: Use AI to analyze pedestrian movement, popular gathering spots, and usage patterns to inform urban planning, 45 Implementation Actions Collision Warning Systems: Install AI systems in vehicles and Equitable and Green Transportation Planning: Integrate AI in intersections to alert drivers of pedestrians and cyclists, reducing transportation planning for equitable access to public transit, bike lanes, accidents and enhancing road safety. and pedestrian pathways, especially in underserved neighborhoods. Connected Vehicle Technologies: Use AI-driven technologies for Ethical AI Use and Privacy Considerations: Establish strict protocols vehicle-to-infrastructure communication, enhancing traffic safety, for ethical AI data collection and usage, ensuring privacy and responsible reducing congestion, and improving transportation efficiency. practices in AI-generated traffic management information. Cultural Expression in Transportation Spaces: Integrate public art Green Space Preservation and Demand Forecasting: Develop and culturally significant designs in transportation areas to support transportation plans that preserve green spaces and utilize AI-based mental well-being and cultural expression. [see Public Art] demand forecasting for route planning. Educate city staff on AI frameworks for designing 15-minute communities. [see Green Space] Data-Driven Infrastructure and Urban Planning: Utilize AI for traffic and mobility pattern analysis to design pedestrian- and cyclist-friendly Green Street Monitoring and Management: Integrate AI sensors, infrastructure. Employ data-driven urban planning tools to develop actuators, and digital cameras to monitor pedestrian, biking, and vehicle efficient and sustainable transportation systems. [see Urban Planning] traffic. Reimagine streets using text-to-image software for improved walking, biking, and transit, and utilize AI Neural Networks for designing Data-Driven Transportation Planning and Education: Collaborate efficient transit routes, bike lanes, and multi-use paths. with relevant agencies for data collection and processing. Educate the public and specialists about AI benefits in road maintenance and traffic Incident Prediction and Resource Allocation: Utilize AI to generate management. Create a comprehensive transportation network using AI prediction reports to identify traffic incident hotspots and allocate for analysis and optimization of public transit systems. resources effectively for improvements. Consider enhancements to public transit systems in high-incident areas to ensure overall urban mobility Distracted Driver Detection and Dynamic Management Systems: and safety. Use AI to detect distracted drivers and dynamically manage crosswalk signals and traffic conditions. Implement AI-controlled speed limits that Innovative Green Street Solutions: Invest in intelligent street lighting adjust in real-time based on traffic and weather conditions. with features like automatic dimming and environmental monitoring. Allocate funds towards urban analytical software with AI tools to assess Education and Training in AI for Transportation: Educate road the environmental impacts of green infrastructure. maintenance specialists and local populations on the benefits and usage of AI in transportation, improving understanding and acceptance. [see Intelligent Traffic and Incident Management: Develop adaptive traffic Community Education] signals controlled by AI for real-time adjustments. Use AI for dynamic traffic signal optimization, real-time traffic management, and incident Electric Vehicle Advocacy and Environmental Impact Reduction: detection like accidents and road blockages, improving traffic flow and Promote electric vehicle subsidies in rural areas and prioritize sustainable safety. transportation options like electric buses and cycling infrastructure for environmental responsibility. 46 Implementation Actions Navigation and Traffic Management: Develop AI-based navigation Stakeholder Engagement and Training in AI Transportation apps that recommend safe routes for pedestrians and cyclists, considering Systems: Engage city officials, traffic management experts, and relevant various factors like traffic, road conditions, and crime data. Utilize AI for stakeholders for collaborative decision-making in AI implementation. smart traffic control, dynamic signal adjustment, and traffic flow analysis Train AI models using historical data and test their effectiveness in to reduce congestion and emissions. predicting traffic patterns and collisions. [see Community Engagement] Predictive Maintenance and Infrastructure Improvement: Employ AI Supporting Local Businesses and Community Inclusivity: Improve for predictive maintenance of transportation infrastructure and traffic pedestrian zones near transit hubs with aesthetic design to boost local equipment. Use AI algorithms to analyze road conditions, schedule businesses and foot traffic. Ensure universal access to transportation maintenance, and prioritize safety improvements. Implement AI-based networks, making them inclusive for all, including those with disabilities. systems for dynamic speed limit adjustments and real-time lane guidance optimization. [see Infrastructure] Sustainable and Inclusive Transportation: Invest in zero-emission vehicles and micromobility solutions, promoting sustainable Predictive Maintenance and Smart Traffic Solutions: Implement AI transportation. Use AI to optimize parking management and public for predictive maintenance of transportation infrastructure and smart transit, ensuring accessibility and reducing traffic congestion. Integrate traffic management systems. Utilize AI for real-time traffic monitoring public art and culturally significant designs in transportation spaces for and dynamic route planning to enhance urban mobility and safety. community identity and well-being. Privacy and Ethical Considerations in AI Usage: Establish protocols Traffic Flow Analysis around Buildings: Use AI-based traffic flow for ethical data collection and use in transportation planning, addressing analysis to optimize routes around buildings, aiming to reduce congestion privacy concerns and ensuring secure data practices. Engage communities and improve accessibility. [see Transportation] in transportation planning for solutions that reflect diverse needs and values. Traffic Network Development and Urban Planning: Leverage generative AI for enhancing traffic management systems, predicting Safety and Aesthetic Design in Transportation: Enhance safety and congestion, and optimizing traffic flow. Utilize AI in urban planning to encourage sustainable transportation choices through thoughtful design, analyze traffic data for future infrastructure planning, focusing on lighting, and aesthetic improvements in transportation spaces. Implement multimodal connectivity and sustainable development. AI-driven street lighting systems that adjust brightness based on pedestrian activity, promoting safety and energy efficiency. Transportation Infrastructure Assessment and Management: Create pilot programs to explore AI’s role in repairing city infrastructure. Deploy Smart Logistics and Public Transportation Optimization: Use AI to small autonomous vehicles equipped with AI to detect road issues and optimize delivery routes in urban logistics and integrate AI with public potholes, and integrate AI sensors in traffic lights and city vehicles for transport systems for efficient routing and scheduling. Encourage efficient comprehensive road condition monitoring. public transportation to reduce car reliance and improve urban mobility. Transportation Structures as Community Landmarks: Design transportation structures like transit hubs and bridges to reflect 47 Implementation Actions community identity and history. Adorn these structures with public art to Market Analysis and Crop Optimization: Utilize AI tools like IBM foster community pride. [see Public Art] Watson for market analysis to provide farmers with insights for strategic decision-making in crop selection and production. Implement AI-driven predictive analytics for accurate crop yield forecasting and resource Urban Agriculture allocation. Autonomous Farming Equipment and Quality Control and Safety: Establish rigorous quality controls for Monitoring Systems: Create automated AI disease- and pest-free environments. Implement precise testing methods -powered farming equipment to ease labor. to verify the absence of harmful substances in cultivation processes, Utilize AI sensors for monitoring crop ensuring high-quality and safe food production. health, water needs, growth rate, and environmental conditions. Deploy image Smart Logistics and Supply Chain Optimization: Utilize AI to recognition technology for early detection optimize delivery routes in urban logistics and supply chain management, of crop diseases and nutrient deficiencies. reducing emissions and maximizing produce storage and distribution efficiency. Data Analysis and Accessibility: Implement machine learning algorithms to categorize and analyze knowledge on urban agriculture Smart Urban Farming Infrastructure: Use AI for energy monitoring in platforms. Incorporate natural language processing to enhance user community gardens and urban farms. Implement smart irrigation and interactions and communication. lighting systems, and optimize vertical farming conditions. Develop smart rooftop chicken coops monitored by AI for health and egg production. Education and Training: Utilize AI for creating community-based training modules, making them accessible through translation and Sustainable Practices and Biodiversity: Promote biodiversity by captioning. Provide comprehensive AI training programs for farmers and cultivating native crops and maintaining ecosystems. Develop actionable urban agriculturists, fostering collaboration between technology and plans to reduce environmental impacts using AI, including organic agriculture sectors. [see Community Education] farming techniques and water health monitoring. Environmental Assessment and Site Optimization: Employ AI for Urban Agriculture Apps and Community Engagement: Develop an AI strategic site selection of urban agriculture, considering environmental garden app to educate the community on crop care, alert them about factors like sunlight and rainfall. Integrate AI systems to optimize spaces produce availability, garden events, and food drives. Station information for urban agriculture, enhancing local food sustainability and community kiosks near community gardens for educational purposes. [see engagement. Community Engagement] Innovative Solutions: Implement AI systems to identify and optimize urban agricultural spaces, including generative AI for mapping nearby farms and AI-recommended collaborative planning strategies. 48 Implementation Actions issues, and suggesting improvements in hive management and honey Urban Ecology production. Adaptive Roadway Lighting: Integrate AI Biodiversity Preservation and Monitoring: Utilize AI tools to monitor with roadway lighting to adjust and protect urban biodiversity, identifying critical wildlife habitats within illumination based on wildlife activity. This cities to maintain ecological balance and enhance green spaces. aims to improve visibility for both drivers Citizen Science Projects: Launch AI-enhanced citizen science initiatives and animals, especially during peak for pollinator monitoring and conservation. AI assists in data analysis, crossing times, reducing wildlife-related offering targeted conservation strategies and plant recommendations. accidents. Collaborative Data Sharing Platforms: Establish AI-driven platforms Animal Detection and Warning Systems: for collaboration among transportation departments, conservation Implement AI-driven cameras and sensors to detect wildlife near roads. groups, and researchers. These platforms enable data and insight sharing The system triggers alerts like flashing lights or signs to warn drivers, for wildlife crossing optimization. aiming to decrease wildlife-vehicle collisions. Collaborative Partnerships: Build partnerships with AI and technology Augmented Reality (AR) Navigation for Wildlife: Develop AI and AR- firms for developing custom irrigation solutions tailored to specific urban based navigation aids for wildlife, creating virtual pathways with visual or landscape needs. auditory cues to guide animals to safe crossing points. Drone Pollination Monitoring: Deploy AI-equipped drones to monitor Augmented Reality (AR) Educational Apps: Create AR apps, powered citywide pollinator activity. This helps identify areas needing by AI, to identify local plants and educate about their role in supporting conservation efforts and habitat enhancement. pollinators. These apps encourage planting pollinator-friendly vegetation, enhancing ecological awareness. Drone Survey: Use drones to survey large private properties for potential tree or vegetation planting, enhancing urban greenery based on climate Automated Irrigation Processes: Implement AI-automated irrigation suitability. systems that operate based on real-time data, reducing manual labor and optimizing water use in urban landscapes. Dynamic Crossing Timing: Use AI to analyze wildlife movement and dynamically adjust wildlife crossing timings, considering factors like time Automated Monitoring and Reporting: Use AI to automatically of day, seasonality, and animal behavior. monitor and report wildlife crossing usage. This provides insights into crossing effectiveness and identifies areas needing adjustments. Education: Educate city residents on sustainable lawn alternatives using AI mapping. Offer sustainable and water-conscious landscaping options Beekeeping Assistance: Provide AI tools to beekeepers for monitoring to those seeking eco-friendly choices. hive health and optimizing conditions. These tools help maintain healthy honeybee colonies, essential for pollination, by analyzing data, identifying 49 Implementation Actions Environmental Design Simulations: Use AI-powered simulations in Green Roof Real-Time Biodiversity Monitoring: Continuously urban design to achieve a balance of aesthetics and functionality, monitor green roof biodiversity with AI-powered cameras and sensors, informed by data-driven insights. contributing to conservation efforts. Environmental Impact Assessment: Implement AI tools for Green Roof Species-Specific Care: Use AI to customize care routines for comprehensive environmental impact assessments, aiding in sustainable different plant species on green roofs, considering their unique land use and minimizing ecological footprints. requirements. Green Corridors: Design green corridors using AI, aligning with Green Roof Urban Heat Island Mitigation: Explore the role of green community history and preferences to address inequities in green space roofs in mitigating urban heat islands, using AI to design and implement access and support sustainable, equitable development. effective configurations for maximum cooling effects. Green Roof Automated Irrigation Systems: Monitor and adjust green Green Roof Weather Forecast Integration: Incorporate weather roof irrigation schedules automatically, using sensors for soil moisture forecasts into green roof management with AI, adapting maintenance and and weather conditions, optimizing water use. irrigation to anticipated conditions. Green Roof Community Engagement Platforms: Use AI-driven tools Green Street Air Quality: Monitor air quality on green streets to assess to inform communities about green roofs’ environmental and economic the need for carbon-sequestering plants or more significant measures, benefits, enhancing awareness and support. and inform citizens about air safety. Green Roof Dynamic Shading Control: Integrate dynamic shading Green Street Infrastructure: Detect water blockages in street drains and systems on green roofs, adjusting to sunlight exposure through real-time rain gardens, ensuring efficient water management and flood prevention. monitoring, enhancing energy efficiency and plant conditions. Green Street Micro-Mobility: Track usage of bikes, strollers, Green Roof Energy-Efficient HVAC Integration: Coordinate green wheelchairs, etc., using AI to map zones optimal for bicycle and roofs with building HVAC systems using AI, optimizing cooling strategies pedestrian infrastructure development. and reducing energy consumption. Green Street Planning: Transform selected roads into pedestrian- Green Roof Predictive Analytics for Plant Health: Use data from friendly zones, accommodating bikes and non-motorized vehicles. This various sources for predictive analytics on plant health on green roofs, involves assessing existing streets to determine their suitability for allowing early intervention for potential issues. conversion into areas prioritizing pedestrian and small vehicle access. Green Roof Predictive Maintenance: Apply AI algorithms to forecast Green Street Plant Health: Analyze the health of plants in urban maintenance needs for green roofs, detecting potential issues like clogged landscapes using AI, specifically an Artificial Neural Network, to identify drainage or damaged vegetation early. nutrient deficiencies in plants, enhancing plant care and landscape quality. 50 Implementation Actions Green Street Survey Report: Create an algorithm to compile and Pilot Projects: Select specific areas for AI-driven experimental projects in present survey feedback for discussion in city meetings, ensuring urban ecology, using machine learning to predict and adapt to community voices are considered in decision-making. community preferences. Green Street Survey: Develop an accessible digital survey for community Pollinator Drones: Deploy AI-powered drones to identify and enhance feedback on street improvements. This approach, addressing the issue of areas with low pollinator activity by distributing wildflower seeds, participants feeling like experimental subjects, ensures inclusive and supporting biodiversity and ecosystem health. comfortable participation in urban planning. Pollinator-Friendly Urban Planning: Use AI to plan urban spaces that Green Street Traffic Pattern Tracking: Utilize AI to monitor traffic support pollinator habitats, optimizing the design of parks and gardens patterns, identifying obstructions or accidents for improved road safety for ecological diversity and health. [see Urban Planning] and efficiency, as facilitated by the Smart Grid Act. Predictive Analysis Tools: Develop AI algorithms for predicting Intelligent Traffic Management: Implement AI to dynamically manage irrigation needs, enabling proactive and efficient water management in traffic, particularly during wildlife movement, possibly involving speed urban landscapes. limit adjustments or road closures for safer wildlife crossings. Predictive Analytics for Wildlife Migration: Create AI models to IoT Devices: Integrate AI with IoT devices across urban green spaces for predict wildlife migration patterns, facilitating effective management of comprehensive data collection, enhancing understanding and wildlife crossings and reducing animal-vehicle collisions. management of these areas. Predictive Modeling for Climate Resilience: Develop AI models to Maintenance: Develop AI models for predictive maintenance in urban assess how native plant species might respond to climate changes, ecology, proactively addressing potential issues and optimizing resource guiding the selection of resilient species for future-proof urban greenery. use. [see Climate Change] Management: Provide specialized AI training for urban planners, Predictive Modeling for Planting Times: Create AI models to equipping them with skills for effective management and optimization of determine the best planting times for pollinator-friendly plants, ensuring green spaces. [see Green Space] continuous bloom and a consistent food source for pollinators. Models: Utilize AI to analyze historical and current data of urban spaces, Public Engagement Programs: Develop an AI app to foster public aiding in identifying successful green space strategies and informing involvement in adopting native plants, providing education and future planning. promoting community participation in urban ecology. [see Community Engagement] Palette: Implement a software tool, similar to Google Earth, to recommend tree planting in residential areas, enhancing urban cooling, Real-Time Monitoring Systems: Implement sensors linked to AI for real shade, and water runoff management. -time monitoring of urban green spaces, optimizing irrigation based on precise environmental needs. 51 Implementation Actions Resource Allocation Strategies: Use AI to optimize water use in Training and Education Programs: Conduct training for staff on AI- irrigation processes, balancing plant health with sustainable resource integrated irrigation systems, ensuring efficient use and maintenance of management. these technologies. [see Community Education] Sense of Place: Encourage tree planting in urban areas through Urban Green Spaces Planning: Use AI to analyze urban layouts for initiatives like Green City Watch, offering incentives such as tax optimal green space placement and plant selection, supporting native reductions for planting on private property. pollinators and enhancing urban biodiversity. [see Green Space] Site Analysis: Employ AI algorithms to analyze GIS data, identifying Urban Heat Island Mitigation: Develop AI to assess and mitigate urban optimal locations for green spaces based on accessibility, density, and heat island effects by recommending strategic planting of native trees and other urban factors. [see Green Space] vegetation, enhancing climate resilience and improving urban environments. [see Climate Change] Smart Irrigation Systems: Implement AI-driven irrigation systems that adjust to real-time environmental conditions, ensuring efficient water use Vertical Greenery and Green Roof Initiatives: Use AI to evaluate and healthy plant growth in urban areas. Integrate AI in citywide buildings for potential vertical greenery and green roofs, reducing urban irrigation to efficiently water green spaces, reducing resource waste and heat, improving air quality, and promoting biodiversity and supporting native pollinator vegetation. Utilize AI in irrigation systems to tailor water usage to the specific needs of different plants, enhancing Video Monitoring: Incorporate AI into camera systems for real-time efficiency and sustainability. monitoring, allowing for optimized resource allocation based on usage trends and demographic insights. Smart Pollinator Gardens: Develop AI systems to monitor and optimize urban gardens for pollinator-friendly plants, ensuring optimal conditions Virtual Fencing and Deterrents: Create AI systems to manage virtual for biodiversity support. fencing and deploy non-lethal deterrents, guiding wildlife safely and reducing road incidents. Soil and Plant Analysis Programs: Introduce AI-powered tools to analyze specific water needs of plants, customizing irrigation schedules Water Pressure and Flow Management: Implement AI to analyze and for optimal urban plant care. optimize water pressure and flow in irrigation systems, ensuring efficient water use and reducing waste. [see Water Resources] Species Selection and Biodiversity Planning: Create AI algorithms to recommend native plant species for urban areas based on local Weather Adaptation Protocols: Develop AI algorithms to adapt environmental data, promoting biodiversity and sustainable urban irrigation systems to changing weather patterns, preventing over- landscapes. watering during rain and addressing drought conditions. [see Climate Change] Subsidization: Offer subsidies for planting greenery on private properties, creating a city-wide map to identify potential areas for tree Wildlife Behavior Monitoring: Employ AI-powered cameras and planting and providing support for proper establishment. sensors to study wildlife behavior near crossings, providing valuable insights for enhancing crossing effectiveness and safety. 52 Implementation Actions Youth Education: Integrate AI and green space education into public environmental factors. This analysis informs strategic urban planning for school curricula, teaching students about AI, drone operation, map green spaces and sustainable development. [see Green Space and Urban reading, and climate change mitigation through urban ecology. Space] Collaborate with platforms like OpenStreetMap for hands-on learning about AI’s autonomous functions. [see Community Education] Digital Twin for Urban Planning: Create a digital twin of the city to simulate and analyze the impacts of urban planning changes on public safety and infrastructure. This virtual model allows testing of new Urban Planning initiatives while minimizing real-world unintended consequences. AI Analytics in Urban Dynamics: Environmental Factors in UrbanSim Models: Enhance UrbanSim AI Implement AI-powered analytics to turn models by integrating environmental considerations like air quality and large datasets into actionable insights for green spaces. This holistic approach ensures urban design urban planning. This deep analysis provides recommendations are environmentally responsible. a nuanced understanding of urban Environmental Impact Assessments: Integrate generative AI in dynamics, leading to more effective environmental impact assessments for urban projects. This provides policymaking. insights into potential environmental consequences, aiding in sustainable Climate-Responsive Urban Design: development strategy formulation. Utilize AI in urban planning to optimize building layouts, materials, and Environmental Justice Mapping: Use AI to map various environmental orientations based on local climate conditions. This approach contributes justice factors, such as urban heat islands and food deserts. This helps to more environmentally attuned urban development. [see Climate better address the concerns of those most impacted by these issues. Change] Equitable Urban Planning: Employ AI algorithms to identify efficient Continuous Monitoring with AI in Urban Planning: Establish a urban planning and zoning practices. Focus on equitable distribution of framework for ongoing monitoring of AI applications in urban planning. environmental benefits and burdens like green spaces and industrial Regularly update models with new data and adapt strategies to changing areas. urban complexities, ensuring the continuous relevance of AI solutions. Gentrification Prediction: Implement machine learning models to Data Visualization in Urban Planning: Use AI-driven data visualization predict areas at risk of gentrification. This approach, as explored by tools, such as those in ArcGIS Urban and Insights, for more effective Alejandro and Palafox, aids in formulating policies to mitigate negative urban planning. These tools help transform complex data into impacts on lower-income residents. understandable visuals, supporting decision-making and public presentations. Inclusive AI Technologies in Smart Cities: Develop AI technologies focusing on inclusivity and accessibility in urban areas, particularly in Data-Driven Urban Green Spaces: Implement AI-powered data affordable housing, transportation, and public spaces. This ensures the analytics to assess land usage patterns, population density, and benefits of smart city technologies are accessible to all. 53 Implementation Actions Modeling PPPs with UrbanSim AI: Use UrbanSim AI to model and Spatial Analysis with Machine Learning: Leverage machine learning simulate Public-Private Partnerships in urban development, optimizing for spatial analysis in urban planning. This approach, as explored by collaboration between public and private sectors for infrastructure Casali et al., uncovers hidden urban data patterns, informing land-use development. decisions aligned with sustainable development. Pre-Autonomous Vehicle Smart City Tech: Integrate “smart city” Sustainable Urban Planning: AI can be leveraged to analyze various technologies ahead of widespread autonomous vehicle adoption. This data types, guiding sustainable urban planning. This approach focuses on strategic move ensures a safe and efficient transition, addressing privacy optimizing resource allocation and infrastructure development, leading to and security concerns early on. The focus is on collecting and managing more efficient and environmentally friendly urban environments. vehicle and locational data for a seamless transportation ecosystem. Temporal Dynamics in Urban Planning: Incorporate temporal GIS and Predictive Analysis in Urban Planning: Employ predictive analysis statistical modeling in urban planning, as demonstrated by Thériault et tools powered by AI for urban planning. These tools can forecast urban al., to understand evolving urban dynamics. This facilitates adaptable growth, infrastructure needs, and environmental impacts, facilitating land use planning responsive to changing needs over time. proactive and sustainable urban development strategies. Togal.AI in Urban Planning: Introducing AI tools like TogalAI in the Real-Time Data Integration in UrbanSim: Explore integrating real- urban planning process enhances efficiency. These tools can streamline time data sources into UrbanSim AI for more dynamic urban simulations. the planning process, analyze architectural drawings, and manage urban This includes data from IoT devices and social media, capturing emerging development issues more effectively. trends and events. Urban Mobility and Neighborhood Design: AI assists urban planners Resource Optimization and Infrastructure Development: Utilizing in creating neighborhoods and transportation systems that promote AI to analyze complex data sets can significantly inform and improve sustainable mobility, like walking and cycling. This reduces sustainable urban planning. This approach aids in optimizing resource transportation-related emissions and fosters environmentally friendly distribution and infrastructure development for better urban commuting options. [see Mobility] environments. Urban Site Selection: Utilize AI to identify low-risk development areas, Smart City Strategic Planning: Advocate for AI use in cities to enhance taking into account community feedback, historical and predictive strategic planning. Implement technologies like wireless and optical fiber climate data, and weather patterns. This aids in sustainable and risk- sensors for infrastructure monitoring, paving the way for improved urban aware urban development. living conditions. UrbanSim Calibration and Validation: Accurately represent cities in Social Inclusion in Urban Planning: Utilize generative AI to analyze UrbanSim AI models using real-world data. Regularly validate simulation data on socio-economic inequality and social exclusion. Develop results against observed trends to improve the reliability of urban strategies to promote social inclusion, ensuring urban development development predictions. benefits all community segments. 54 Implementation Actions UrbanSim Community Engagement through Visualization: Use UrbanSim AI to create visualizations for community engagement in urban Walkability planning. These visual representations help citizens understand and engage with proposed changes and their impacts. Accessibility Assessment: Utilize AI for mapping and analyzing the walkability of UrbanSim Dynamic Population Modeling: Implement dynamic streets and sidewalks. This involves population modeling in UrbanSim AI to realistically simulate population identifying areas that lack accessibility changes, including migration, birth rates, and aging demographics. This features, like ramps, and pinpointing enhances the representation of urban dynamics. infrastructure issues such as potholes that impede pedestrian movement. UrbanSim for Fine-Grained Zoning and Land Use: Use UrbanSim AI to model detailed zoning and land use changes. This allows for a granular AI App for Walkable Routes: Develop an understanding of how city areas might evolve, considering demographics, AI-powered application that maps the most walkable routes to any given economic trends, and policy changes. location. This app should prioritize factors like safety and accessibility, ensuring the paths recommended are both convenient and secure for UrbanSim for Scenario Planning and Policy Evaluation: Utilize pedestrians. UrbanSim AI for scenario planning to assess the impact of various policy decisions on urban development. This aids policymakers in making AI Sensors for Foot Traffic Data: Deploy AI sensors throughout a city to informed decisions regarding urban planning initiatives. collect data on pedestrian traffic. This information can be used to identify the most frequently used areas, aiding in prioritizing these zones for UrbanSim for Transportation and Mobility Modeling: Leverage improvements and maintenance. UrbanSim AI to model urban transportation and mobility patterns. This includes assessing the impact of new infrastructure and evolving mobility Community Engagement: Implement AI tools to gather community trends, optimizing urban transportation systems. [see Mobility and feedback about walkability. This approach involves analyzing data on the Transportation] public’s concerns and preferences regarding walkable spaces, aiding city planners in making informed decisions. [see Community Engagement] UrbanSim Integration with GIS Data: Enhance spatial analysis in UrbanSim AI by integrating with Geographic Information System (GIS) Crosswalk Management: Integrate AI algorithms into crosswalk systems data. This provides a more complete geographic understanding, leading to manage pedestrian flow based on real-time activity. This technology to precise urban design recommendations. aims to enhance safety and efficiency for people crossing streets, adapting to varying pedestrian volumes. [see Transportation] Virtual Urban Simulators: Integrating AI-powered virtual reality into urban planning allows for enhanced public participation. This technique Design of Walkable Spaces: Use AI simulations to develop and visualize involves 3D modeling and community involvement, enabling effective designs for pedestrian infrastructure. This includes creating comprehensive participation and sustainable urban design through layouts that optimize walkability and comfort for users. virtual simulations. 55 Implementation Actions Designing Public Spaces: Employ AI to design walkable public spaces, Community Reporting and Mapping: Develop AI applications that ensuring these areas are safe and enjoyable. This involves considering enable community participation in reporting and mapping water various factors necessary for creating welcoming and accessible contamination and scarcity, leading to timely and localized responses. pedestrian areas. [see Public Space] [see Community Engagement] Gamification of Walking: Create an AI application that tracks walking Community Water Footprint Apps: Create AI-powered apps to and fitness activities, incorporating gamification elements. This app calculate and visualize water usage at individual and community levels, would encourage users to meet their fitness goals by turning walking into promoting awareness and encouraging responsible water use. a rewarding game. Consumer Education: Develop AI platforms focused on educating Real-Time Alerts with AI Sensors: Implement AI-based sound and consumers about water conservation and helping them make informed visual sensors to provide real-time alerts about safety hazards in walkable decisions about their water consumption. [see Community Education] areas. This system would also instantly notify authorities about potential dangers, enhancing community safety. Cross-Sector Collaboration: Foster cross-sector collaboration using AI to create comprehensive datasets and holistic water management Weather-Responsive AI Systems: Develop AI solutions that adapt approaches, benefiting water management companies and researchers. walkable spaces to different weather conditions. This includes ensuring pathways are safe year-round, such as providing textured surfaces for Data-Driven Water Policy Development: Utilize AI tools to analyze better grip during rain or snow. socio-economic data, assisting policymakers in devising effective water conservation regulations. Water Resources Drought Prediction and Management: Develop AI models that predict droughts using historical data, satellite imagery, and moisture level AI Sensor Technology for Water Quality analyses, integrating this into water conservation strategies. Monitoring: Deploy AI sensors for Expanded Water Monitoring with IoT: Broaden water monitoring to continuous water quality monitoring, rural and agricultural areas using IoT technology. especially in underserved communities. Leak Detection and Management: Use AI software to continuously Centralized AI-Driven Water monitor water distribution systems for leak detection and management. Management Platform: Establish a unified platform using AI to monitor and Pattern Recognition in Water Quality: Employ machine learning to manage urban water resources, integrating identify patterns in water quality over time. data and mapping. Precision Agriculture with AI Analytics: Utilize AI to optimize water Climate-Informed Water Management: Use AI to factor in climate- usage in agriculture, preventing overwatering and fostering sustainable related aspects like rainfall patterns and potential flooding, aiding in practices. [see Urban Agriculture] smart irrigation, stormwater management, and flood prediction. 56 Implementation Actions Robotic Maintenance: Integrate AI-powered robots for efficient water Water Recycling and Reuse: Employ AI to manage water recycling and infrastructure maintenance, enhancing reliability and reducing reuse processes, including treatment plant monitoring and analyzing downtime. water quality for safe reuse methods. Smart Irrigation Systems: Implement AI software with sensors to Water Resources Big Data Analytics: Use big data analytics to generate monitor soil, plant, and weather conditions, optimizing irrigation for crop comprehensive reports from both structured and unstructured data, improvement. including historical records, sensor data, and observed patterns. Smart Metering and Billing: Integrate AI-controlled metering systems for precise water consumption measurement, identifying usage patterns ⚫ and inefficiencies. Smart Water Management Systems: Implement AI-enabled systems to monitor water usage, detect leaks, and optimize water flow, ensuring efficient water management within buildings. Water Allocation Plans: Implement machine learning to formulate accurate water allocation plans. This involves analyzing historical water usage, availability, and weather patterns, to ensure efficient distribution for agriculture, residential, and urban needs. Water Demand Forecasting: Implement AI algorithms to accurately predict water demand, considering historical trends, population growth, and climate changes. Water Quality Management: Implement AI to monitor water sources, detect contaminants, and predict water quality issues, ensuring safe drinking water. Water Quality Monitoring: Utilize AI to detect contaminants and pollutants in water sources, enabling early detection of water quality issues. Water Quality Testing: Use IoT sensors for AI-enhanced water quality testing at critical points. 57 AI Software and Use Cases he Green Cities AI website has a selection of more than 500 generative T artificial intelligence programs that span the following categories: Compilations, Audio, Code, Design, Health and Wellness, Images, Large Language Models / Chatbots, Maps and Navigation, Presentations, Productivity, Research / Education, Text / Writing, Urban and Regional Planning, and Video. The following is a recommended selection of online AI programs with specific applications for cities: Adobe Express https://www.adobe.com/express/ Adobe Express is a graphic design software that uses AI tools for image editing and design. It increases efficiency in the design process with templates and other smart features. City Application: City planners can use Adobe Express to create visually appealing maps, infographics, and promotional materials for urban development projects geared toward the public. Adobe Firefly https://www.adobe.com/products/firefly.html The Adobe Firefly image generation tool is particularly useful for visualizing urban designs. By providing a text description, the AI can create detailed images based on specific requests. For instance, if you want to see how a street might look with environmental features, you could say, “Show an image of a street with bioswales.” This allows you to explore and evaluate various urban design concepts visually, aiding in effective planning and decision-making. The tool is versatile and can cater to a wide range of urban design elements, making it a valuable asset for envisioning and refining cityscapes. AI Dreamer https://apps.apple.com/us/app/ai-dreamer-ai-art-creator/ id1608856807 AI Dreamer is an app that generates art from text, offering a solution for those who lack confidence in their artistic skills. Cities could use AI Dreamer for citizen events, replacing traditional magazine collaging. This approach eliminates the need for sourcing materials like magazines and glue sticks and reduces waste. Additionally, it saves time in the creative process, allowing for more ideas to be visually expressed and shared efficiently during such events. AI Finder https://ai-finder.net/ AI Finder is a tool designed to help users discover and explore over 1500 AI tools, tailored to enhance workflows and productivity. AI Finder could be used in city planning to identify and evaluate various AI solutions that can streamline 58 AI Software and Applications administrative processes, optimize resource allocation, and improve overall Akkio https://www.akkio.com efficiency in urban management. Chat with your data, build generative visualizations and insights, and create machine learning models in minutes, The application of this program would be AI Helper Bot https://www.sqlai.ai/?via=topaitools for services like construction and public transit as it can use its predictive AI Helper Bot is an artificial intelligence tool that generates SQL queries capabilities to predict/plan proper bus routes, repair dates, and when the most instantly. It does so without prior SQL knowledge and using everyday language people need your employees and services. (GPT-4). It supports various languages and matches input to database schema automatically. This ensures high accuracy and error-free SQL queries. Users can ALEKS https://www.aleks.com/ save SQL snippets for later use and connect to databases for direct data insights. An adaptive learning program that is based on research on the topics of math, AI Helper Bot aims to help users in various industries gain valuable data insights chemistry, statistics, and more. It can be useful in teaching people these subjects from their databases. In city planning, AI Helper Bot can support traffic as it creates guided practices tuned precisely to the user’s needs. Perfect for management by analyzing traffic data to optimize traffic signal timings, identify students and calculus. congestion points, and propose solutions for better traffic flow. Amazon CodeWhisperer https://aws.amazon.com/codewhisperer/ AI Trip Planner https://www.buildai.space/app/dae3da25-888e-448f-b15c- Amazon CodeWhisperer is an AI coding companion that enables developers to 5a20ca4ca961 build applications faster and more securely through AI-driven coding assistance. The AI Trip Planner customizes travel itineraries based on stay duration, In city administration, Amazon CodeWhisperer could be applied to accelerate destination, and interests, providing insights on busy times, pricing, and the development of software solutions used for managing municipal services, availability. This tool benefits city administrations by identifying popular sites, tracking urban development projects, and enhancing the security of digital visitor engagement, and enhancing economic prospects. It aids in planning for systems. traffic, resource allocation, and security, adapting to seasonal and locational demands. Beyond individual use, it’s valuable for promoting under-visited areas, Andi AI https://andisearch.com/ boosting tourism and local economies, and optimizing city navigation to Andi is a search engine that works as a chatbot, allowing users to utilize it as a highlight key attractions like architecture, museums, and monuments. search assistant. It integrates real-time data and semantic search, conversationally producing results. In city planning, Andi AI could be used for AI-Media https://www.ai-media.tv market research for development projects. Andi AI can analyze data on property Captioning solutions for every need. Ai-Media is your one-stop shop for all values, market trends, and real estate transactions to make informed decisions captioning, transcription, and translation solutions, this application could be about land use and development. used to automatically apply captioning to any public broadcast so that even people with hearing impairments or disabilities can understand and Apollo Writes https://opentools.ai/tools/apollo-writes communicate important information. Apollo Writes can create blog posts and articles using the tone and writing patterns of an actual human being, given key information to include. This AI can AIVA https://www.aiva.ai/ help to give online updates to the public about current projects being taken by a AIVA is an artificial intelligence platform that composes emotional soundtrack city, allowing for better and more immediate communication between citizens music. AIVA can contribute to city planning initiatives by providing unique and and their local governments. emotive soundtracks for promotional videos, presentations, and events, enhancing the overall experience and engagement of the community. ArcGIS Urban https://www.esri.com/en-us/arcgis/products/arcgis-urban/ overview ArcGIS Urban is a comprehensive 3D city planning and design software. It 59 AI Software and Applications enables city planners and administrators to visualize, analyze, and simulate Assembly AI https://www.assemblyai.com/ urban environments in a digital platform. The software provides tools for Assembly AI provides an API that exposes AI models for speech recognition, creating interactive 3D models, performing spatial analysis, and evaluating speaker detection, speech summarization, and more. In city administration, various scenarios for urban development. ArcGIS Urban can be used for city Assembly AI can be integrated into systems for transcribing and summarizing planning by helping in the assessment of different land use proposals, optimizing meetings, facilitating efficient documentation of administrative discussions and building designs, and understanding the potential impacts of infrastructure decisions. development on the urban environment. Audext https://audext.com/ ARCHITEChTURES https://architechtures.com/en/ Audext, an advanced AI transcription software, efficiently converts audio files ARCHITEChTURES, a generative AI-powered platform, rapidly designs optimal from city planning meetings and public hearings into text. This enhances public residential buildings and developments. It aids in scenario analysis and budget engagement by making spoken commentary easily accessible and recordable with impact studies, enabling sustainable and green building designs. The tool a simple click, facilitating better documentation and communication in civic streamlines city planning by offering real-time pricing, design changes, and processes. material estimates. Ideal for city planners, it accelerates bidding processes and integrates with other design tools to enhance efficiency. Its extensive database Auto Draw https://www.autodraw.com supports city, building, and road construction planning, optimizing residential AutoDraw is a web-based drawing tool developed by Google. It utilizes machine zoning and space management for better city representation. learning and artificial intelligence to help users create drawings even if they may not be skilled artists. The primary feature of AutoDraw is its ability to recognize ARK https://tech.architizer.com/listing/ark.html hand-drawn sketches and suggest more polished drawings or icons that closely Very similar to Architectures, ARK is a schematic design tool that focuses on match the user’s intent. Urban planners can use AutoDraw to quickly sketch floorplan development and code compliance. This again would be useful for non- concepts for public spaces, landscape designs, or architectural features. This tool architects to understand what a project could look like early in the process. can then provide more refined and visually appealing representations. Integration of zoning and building codes could lead to better design outcomes rather than developers seeing these as restrictive and cost-prohibitive. Autodesk Forma https://www.autodesk.com/products/forma/overview?term=1- YEAR&tab=subscription ArkoAI https://arko.ai/ Made by Autodesk, a company that every architect uses products from daily, ArkoAI is an AI rendering program that plugs into BIM software. Every project Autodesk Forma is an AI program that analyzes building form and site planning has a BIM model but it’s very time-consuming for firms to generate realistic and addresses issues in energy performance, thermal performance, and other renderings, especially for low-income housing projects where the scale is large sustainability objectives. It interfaces with industry-standard software, and it and the budget is low. Tools like this could lead to better building design quality seems that it will be replacing or improving some of the very clunky analysis with much less expense. software already in Autodesk’s lineup. Powering this with AI means that high- level computer analysis can be done on any project with any budget and any Artbreeder https://www.artbreeder.com/ team, whereas previously this would have been very cost and time-prohibitive. Artbreeder allows users to make rough layout plans for an image using shapes and simple designs, and then use text description to fill in this outline with what Autodesk InfraWorks https://www.autodesk.com/products/infraworks/ the creator wants. This AI can be used in tandem with other programs like overview ClipDrop to help planners show their ideas for a project visually, and Autodesk InfraWorks is a powerful 3D modeling software for urban communicate what they hope to do with other city officials or with the public. infrastructure planning and design. It enables the creation of detailed 3D models, analysis of site conditions, and integration of engineering data to facilitate 60 AI Software and Applications collaboration between urban designers and infrastructure engineers. InfraWorks particularly useful for city planners, government, and social workers to enhance supports city planning and administration by allowing the visualization and the quality of their presentations. In public hearings, it empowers citizens to evaluation of proposed infrastructure projects in the context of the existing urban express their opinions on par with professional entities like real estate firms, environment. It aids in the coordination between various stakeholders involved promoting equality in public discourse. The use of Beautiful.ai could lead to more in infrastructure development. structured public meetings and potentially larger audiences. Azure Quantum https://quantum.microsoft.com/ Before Sunset AI https://www.beforesunset.ai/ This program provides tools and API for machine learning applications. This can BeforeSunset AI is a mindful productivity tool that utilizes AI to help you plan be used to improve data analysis for planners, improve image recognition for and schedule your perfect day based on your notes, tasks, calendar integration, urban areas, and help create models that can predict population patterns. This and time frame. BeforeSunset AI promotes mindful productivity by helping you program has tools such as Azure machine learning to help create predictive create a healthier work routine and personal routine. Before Sunset AI can help models. This can help look at the demographic shift in a chosen area and city planners stay organized by meeting deadlines so that important urban design optimize transportation systems. This could also help in informing urban projects are completed in a timely yet efficient manner. It can help prevent development decisions using facts. projects from being pushed back or delayed due to conflicting schedules. Moreover, it can reduce the stress levels of city planners when they are working Bard https://bard.google.com on large projects and have lots of tasks or meetings. Bard is Google’s conversational tool that works similarly to chat GPT. This tool can help brainstorm ideas, spark creativity, and accelerate productivity with Bing Image Creator https://www.bing.com/images/create automated suggestions. Mainly fetching data from Google, Bard works to quickly Bing Image Creator, a free AI-powered tool using the Bing search engine, answer questions and provide data using AI chatbots, Bard is a large language generates images from text descriptions. It streamlines the conceptual design model good for writing papers or brainstorming due to its constant evolution and process in city planning by quickly visualizing ideas, thus reducing planning study of over 1 trillion different words. A city planner could help them write a stages. This tool can represent diverse visions for city projects, aiding in depicting draft EIS statement, it could help give suggestions on sustainability or it could be potential outcomes like a utopian city based on descriptions. Its ease of use with used as a second set of eyes when reviewing long lengthy documentation smart prompts makes it a valuable resource for professionals in city planning and provided by other parts of the government. design, facilitating visualization and accelerating the design process. Bearly https://bearly.ai/ BioRender AI https://www.biorender.com/ Bearly is an Open AI that can interact with documents and allows you to use BioRender AI is a state-of-the-art scientific illustration tool using artificial different “prompts” to change reading and writing templates. This is super intelligence to enhance the creation of complex scientific visuals. The envisioned convenient when trying to get the summary of an article that has an excessive use of BioRender AI is to develop a free, unbiased website with scientific amount of filler. You can also just ask the program questions and it will gather publications covering various topics. This site will enhance scientific knowledge from the internet through your browser. This could be useful in communication by simplifying and effectively visualizing complex biological workshops that require a decent amount of knowledge to be learned in a short concepts, thereby advancing scientific visualization and accessibility. amount of time. Bird Sounds uses patented AI to translate, dub, and lip-sync any video into 50 Beautiful AI https://www.beautiful.ai/ Languages. https://experiments.withgoogle.com/bird-sounds Beautiful.ai is a presentation design platform utilizing AI to create professional Thousands of bird sounds are visualized using machine learning. [Experiments presentations quickly and effectively. It provides various templates and design with Google] This experiment uses machine learning to organize thousands of options, accessible to users regardless of their design skills. This tool can be bird sounds. The computer wasn’t given tags or the birds’ names – only the 61 AI Software and Applications audio. The computer created this map using a technique called t-SNE, where system requires no software purchases, setup fees, or long-term commitments. similar sounds are placed closer together. This could be applicable in a city or The AI agents handle a majority of calls and chats, with any overflow directed to public park and used as an educational tool for the public; identifying different existing call centers. Operating entirely in the cloud, this solution requires no bird sounds solely off of sound and regenerating information about the type of changes on the client’s end. Additionally, it offers unlimited capacity and a bird, whether or not it is native to the area, and many other educational factors pricing model based solely on actual usage, with zero software and setup costs. could be an appeal to the public and share information not normally easily This innovative approach makes it a cost-effective and flexible solution for cities accessible. seeking to modernize their customer service operations. Blender 3.5 https://www.blender.org/ Canva https://www.canva.com/ Blender 3.5 is a free and open-source 3D computer graphics software used for Canva is a graphic design platform that allows users to create a wide range of creating animated films, visual effects, art, 3D games, and more, with features like visual content, including presentations, posters, social media graphics, Viewpoint Compositor VDM sculpting. In city planning, Blender 3.5 can be used documents, and more. It provides a user-friendly interface with drag-and-drop to create detailed 3D models of urban environments, allowing planners to functionality, making it accessible to individuals with varying levels of design visualize proposed developments, streetscapes, and landscaping before expertise. Canva is filled with pre-made templates and several design elements to implementation. It can also be used to render realistic images and animations of easily make professional designs that could be used in city planning to create urban designs to communicate concepts to stakeholders, decision-makers, and effective community engagement materials such as posters, infographics, and the public. brochures to communicate city planning initiatives to the community. In city planning, Canva can be used to design clear and informative master plans, zoning Brand Mark https://brandmark.io/ maps, and other visual aids that can be shared with stakeholders, residents, and Brand Mark is a logo generation tool that can be used by administrations across decision-makers. You can even incorporate icons, labels, and color-coded the world to generate logos and designs for all types of projects. With Brand elements to enhance understanding. Mark, it takes ideas from you or inspiration from text and images to design logos that can be used as letterheads, brand logos, business cards, and social media Casper AI https://chromewebstore.google.com/detail/ icons. A city could use this tool to help generate a brand for a new project, fgfiokgecpkambjildjleljjcihnocel development, team of people, or piece of policy they wish to push through. With This AI software is a tool that can help people by summarizing articles, sharing this tool, a city could cut costs, generate real-time artwork minimize design insight, and creating content. This can be useful to more efficiently collect process time, and have generated artwork at their disposal for all types of information which will improve productivity. projects. CF SPark https://www.creativefabrica.com/spark/ai-image-generator/ Breezometer https://atmosphere.copernicus.eu/breezometer-information-air- This software can create images and artwork from word prompts and give users a quality-and-pollen wide array of premium AI images. This can be useful for city planning because it Breezometer uses AI to analyze air quality data and provide real-time air quality can aid in anything from envisioning how a space can look, such as a downtown information. This can be useful for city administrations to monitor and address street, to developing inspiration for a mural or urban art project. environmental concerns. ChatGPT https://chat.openai.com/ CallCenters.AI https://callcenters.ai/ ChatGPT, developed by OpenAI, is a language model designed for understanding CallCentersAI is revolutionizing the call center industry by introducing a fully and generating natural language. It excels at providing concise information on a automated, human-free call center. By replacing traditional human operators wide range of topics, aiding in broadening understanding. While not always with AI-powered Virtual Agents, companies can save up to 50% on costs. This accurate, it serves as a valuable tool for government workers to quickly gather 62 AI Software and Applications information, complementing research efforts. ChatGPT enables engaging text in numerous ways for city planning. Claude could help create a welcoming online conversations, continuously improving through machine learning. It can environment and provide AI coaching, searches, admin work, and sales work. instantly provide information on local policies, regulations, and civic responsibilities to both citizens and government agencies. Clipdrop https://clipdrop.co ClipDrop is a versatile AI tool that automatically removes objects, people, text, ChatX AI Marketplace https://chatx.ai/marketplace/category/chatgpt/ and defects from images, and can upscale photos by 2x or 4x. Its capabilities ChatX AI Marketplace offers ChatGPT prompts and an advanced GPT prompt streamline the creation of advertising campaigns for cities, reducing the time and generator for creating conversational AI applications. City planning authorities resources needed to manage photo disruptions or imperfections. By allowing could utilize ChatX AI Marketplace to develop interactive chatbots for citizen users to edit individual elements while maintaining the overall appearance of the engagement, providing real-time information on city services, and events, and image, ClipDrop aids city planners in creating realistic backdrops for project addressing public inquiries efficiently. renderings. This feature is particularly useful for visualizing proposed projects in existing locations, providing a clear and enhanced representation of future Citilogics https://www.xylem.com/en-us/ developments, thus facilitating more effective planning and communication of Citilogics uses AI to analyze and visualize data related to urban infrastructure. It urban projects. can help city administrators make informed decisions about infrastructure maintenance, upgrades, and planning. Codium https://www.codium.ai Codium AI is focused on code integrity. It generates tests that help you CityFlow by Siemens https://www.siemens.com/global/en/products/services/ understand how your code behaves, finding edge cases and specific behaviors, iot-siemens/public-sector/city-performance-tool.html making code more robust and smarter. In city planning, Codium could be used to This program uses AI for smart city management. It uses machine learning generate coding languages used to analyze vast data sets relating to algorithms to analyze data from urban systems. This can be used to improve demographics, traffic patterns, environmental factors, and more. traffic signal times and predict traffic flow, creating a more efficient system. Cody https://meetcody.ai/ CIVIQ Smartscapes http://www.civiqsmartscapes.com Cody is a Chatbot that can be trained to fit your company, team, or individual This program has smart city solutions using AI for data-driven decision-making. processes. It can analyze, organize, and utilize large quantities of documents for a This can help optimize public services and help create better transportation group’s specific purpose and uses. Cities can use Cody to analyze project methods. [Requires approved access] proposals and connect them with the most appropriate grants. For example, city Civis Analytics https://www.civisanalytics.com/ staffers could upload statewide grants and project proposals, and customize Cody Civis Analytics provides data science solutions for city governments. Its to help them summarize these documents, tabulate the main requirements, and applications include predictive modeling for resource allocation, understanding connect them with current ideas posed by the city staffers (and those generated community needs, and improving the efficiency of government services. with the assistance of ChatGPT, Cody, and other AI software). Claude https://claude.ai/login Dall-E3 https://openai.com/dall-e-3 Claude used a large language model like ChatGPT where it uses phrases that Dall-E3, an artwork generator, is a text-to-image software that could significantly appear together to create a response to the prompt. However, in this case, Claude aid city planners in shaping a city’s aesthetic and cultural identity. By translating can help with brand development and chat/customer service, and even use legal descriptive text into visual art, Dall-E3 offers a unique tool for envisioning and documents to gather data related to a case study. This software could be helpful portraying the story and character of urban spaces. Cities can use this technology to visualize potential public art installations, neighborhood themes, or historical representations, enhancing the sense of place and community identity. This 63 AI Software and Applications approach not only aids in planning and design but also fosters a deeper cities could automatically translate their websites and all publicly accessible connection between the city’s spaces and its inhabitants, contributing to a more information into a wide variety of languages while maintaining intricate vibrant and engaging urban environment. linguistic nuances, idioms, and context, resulting in translations that sound more natural and human-like, and not as an afterthought. Deep Art Effect https://www.deeparteffects.com/ This software tool utilizes deep learning algorithms to apply artistic styles to Descript https://www.descript.com/ images, transforming them into visually appealing artworks. In city planning, Descript is an application that helps users edit videos, create clips, create Deep Art Effects can be used to boost public engagement. City planners can podcasts, and transcribe videos. It provides studio text and audio, has a green utilize their artistic renderings to communicate design concepts to the public in a screen effect, allows users to edit videos by editing text, and can clone voices. It is visually appealing manner, fostering community engagement and understanding a straightforward, efficient, and simple way to create videos. For example, if the of proposed projects. city wanted to create a video that illustrates its goals in redesigning a car-traffic- heavy street for better multimodal access to communicate its intentions to the Deep Media https://www.deepmedia.ai/ public, this application would make this much easier and less time-consuming. This service can translate and speak over any video in several languages, which could be extremely useful in cities with large tourism sectors that draw attention DoNotPay https://donotpay.com/ and visitors from many different countries. By being able to translate and dub This program is the first robot lawyer that allows users to fight various entities informational videos, directions, and public information/ service without having to have extensive knowledge and legal background. This can be announcements, cities would be adaptable to all tourists and populations with important for city planning because it keeps various entities within a city different languages. accountable for their actions and allows citizens to have a more hands-on experience in fighting for their rights. This software can give citizens more DeepBrain AI https://www.deepbrain.io/ control over their legal rights and make legal advice more accessible. DeepBrain AI is an application that creates AI-generated videos from scripts. It features preset AI avatars that can be scripted to speak in various languages, Dora https://www.dora.run/ making it a valuable tool in multicultural settings and for accessibility purposes. Dora is an AI software that significantly streamlines the process of city design by This technology can produce informational videos in different languages, useful importing 3D objects and scenes directly into an editor. This technology for places like museums. It’s ideal for creating realistic marketing videos, eliminates the need for extensive coding, enabling the creation of detailed tutorials, and training materials. Cities can utilize DeepBrain AI for cost-effective downtown renovation models more efficiently and accurately than traditional and time-efficient production of training and informational videos for public hand-drawn methods. Dora not only saves time but also allows for the services and facilities. Its human-like avatars lend a relatable feel to the content, incorporation of specific existing architectural styles, building designs, artworks, enhancing marketing efforts. and other predetermined features, enhancing the precision and quality of urban planning. DeepL Translation AI https://www.deepl.com/translator DeepL Translation AI is an “advanced neural machine translation service” that Durable https://durable.co/industries/digital-marketing has garnered widespread recognition for its exceptional linguistic capabilities and Durable is an AI tool designed to expedite website creation and marketing, offers highly accurate and contextually relevant translations. As self-evident as beneficial for new cities and their administrators. It provides a centralized this may be, cities today are exceptionally multi-lingual, and yet city service platform for public access to information, news, and history about the city, aiding websites are primarily written in English, with the rare exception of the partial in attracting tourism. Beyond website creation and marketing automation, Spanish translation, yet no consideration for the hundreds of dialects that thrive Durable also offers financial management features. These capabilities are within our country. Through the use of DeepL’s "neural network architecture" 64 AI Software and Applications especially useful in the early stages of city planning, helping administrators workout plans. While its connection to city administration might be indirect, effectively manage budgets and plan the overall city layout. integrating FitnessAI into city or county-wide fitness programs, especially in K-12 schools and public health initiatives, is envisioned. The AI customizes workouts ElevenLabs https://elevenlabs.io/ to users’ progress, promoting personalization, habit formation, and commitment ElevenLabs offers a text-to-speech (T2S) service where users can input text into a to fitness goals. This approach can modernize physical education, replacing box and choose from a selection of unique voices for narration. This technology outdated standards with tailored exercises. A public website could extend these can be particularly beneficial in city planning, especially for individuals with benefits to the wider community, encouraging physical activity and social events speech impairments, such as those who have lost their voice or are mute. It like marathons, potentially appealing to all ages with a gamified exercise enables them to effectively communicate and share their ideas, ensuring their experience. valuable contributions are heard in the urban development process. Future Tools URL https://www.futuretools.io/ ESRI CityEngine https://www.esri.com/en-us/arcgis/products/arcgis- Future Tools is a platform that collects and organizes various AI tools, aiming to cityengine/overview empower users with cutting-edge technologies. City planners and administrators CityEngine utilizes AI and 3D modeling to help urban planners create and can leverage Future Tools to explore innovative AI solutions for data analysis, visualize cityscapes. It can simulate the impact of various urban planning predictive modeling, and decision-making processes in urban development scenarios on the environment. projects. Facetune https://www.facetuneapp.com/ Futurepedia https://www.futurepedia.io/ Facetune might not have direct applications in city planning but could be used Futurepedia is the largest AI tools directory, updated daily, offering a for image enhancement in local promotions. comprehensive resource for discovering and understanding diverse AI Figma https://www.figma.com/ applications. Urban administrators can use Futurepedia to stay informed about Figma is a collaborative interface design tool. Figma can be used to plan out the the latest AI technologies relevant to city planning, enabling them to make overall design and structure of city buildings, streets, and public areas. informed decisions about implementing advanced solutions. Fireflies AI https://fireflies.ai/ GenAI https://genai.works/ Fireflies AI is an application that transcribes audio into text in real-time and GenAI aims to empower users’ lives with artificial intelligence, suggesting a broad records video and audio. It’s highly beneficial for cities, especially for range of applications across different domains. City Application: In city planning, documenting public hearings, online gatherings, and meetings. By using Fireflies, GenAI could be utilized for data analysis, scenario modeling, and trend the need for manual recording is eliminated, saving time and money. As an AI prediction, aiding administrators in making informed decisions for the city’s assistant, it records, transcribes, and enables the search of meeting content, growth and development. automatically documenting ideas and conversations. This feature enhances Google Cloud Vision AI https://cloud.google.com/vision participation in city council meetings, fostering a diverse and inclusive Google Cloud Vision AI, an AI service by Google, offers advanced image environment. It overcomes human limitations in recording and transcribing recognition and analysis capabilities for app development. It’s envisioned as a information, ensuring comprehensive documentation and greater accessibility of public tool for maintaining city infrastructure, where residents can report issues information from these meetings. like potholes through a city-run app by simply taking a photo. The AI would Fitness AI https://www.fitnessai.com/ identify the location using landmarks and compile a dynamic city map FitnessAI is a machine learning-driven platform offering personalized, adaptive highlighting repair needs. Over time, it could generate a usage map for targeted maintenance and redesign. This scalable technology processes images quickly, is 65 AI Software and Applications suitable for real-time use, and goes beyond object recognition to offer content Hello History https://www.hellohistory.ai insights and accessibility features for the visually impaired. This concept will be Have in-depth conversations with some influential and fascinating figures from detailed further in an upcoming essay. history. This application can help city cultural centers create a more intrinsic sense of history in their cities by having kids directly interact with pivotal Google Maps https://www.google.com/maps/@44.0467456,-123.0831616,13z? historical figures from their area/city. entry=ttu Google Maps is a web-based mapping service that offers detailed and interactive How to Generate (Almost) Anything https:// maps for locations worldwide. Users can utilize it for navigation, explore street- howtogeneratealmostanything.com/ level imagery with Street View, find information about local businesses, and Helps inspire humans to create things that don’t already exist. Generates unique obtain directions for various modes of transportation. Google Maps aggregates ideas and designs. This AI can help city planners create new building designs that location data from smartphones, as well as user-reported data on things like can interact with the environment in a more green nature-friendly way. construction and car accidents to monitor the ebb and flow of traffic, determine an ETA, and provide users with the fastest route to their desired destination. The IBM Watson AI https://www.ibm.com/watson app also uses advanced machine-learning techniques to predict traffic conditions This software offers a lot of resources such as language processing and computer soon. In city planning, Google Maps can be used for emergency planning and vision. City planners can use this software to analyze public opinions and response. Planners can use Google Maps to create emergency response plans by understand the needs of those in the community. This allows for a more concise visualizing critical infrastructure, identifying evacuation routes, and coordinating analysis of data saving time. the placement of emergency services based on geographic data. IBM Watson IoT for Smart Cities https://www.ibm.com/smarterplanet/us/en/ Google Translate https://translate.google.com/ smarter_cities/solutions/human_solutions/ Google Translate uses AI for language translation and offers text and speech IBM Watson offers solutions for smart cities, including predictive analytics and across multiple languages. City administrators can use Google Translate to AI-driven insights. It can help in optimizing city services such as transportation, translate city planning documents, public announcements, and information into waste management, and energy consumption. other languages, reaching a diverse audience. IES VE https://www.iesve.com/software GPT4 https://openai.com/gpt-4 IES VE (Virtual Environment) is a software suite specifically designed for A language model that can solve difficult problems to a higher degree compared sustainable building design and energy analysis. It offers advanced simulation to just normal Chat-GPT-4. It’s a neural network that associates conversation and capabilities for analyzing energy consumption, daylighting, thermal comfort, and background knowledge comprised of the precious GPT models. An intuitive way other environmental factors. IES VE can assist city planning and administration to allow govt figures to come up with future city plans and ideas to gain in assessing the energy efficiency and environmental impact of building designs. community traction. By integrating with other urban planning tools, it allows cities to make informed decisions regarding sustainable development and resource management. Grammarly https://www.grammarly.com/ Grammarly is a writing tool that uses AI to offer suggestions for grammar and Ironclad https://ironcladapp.com/ spelling. City planners can use Grammarly to enhance the clarity and With local, regional, and federal government bodies, there can be a lot of professionalism of written communications, ensuring effective and error-free legalities and nuisances that are complicated and hard to decipher within the communication. planning world. Ironclad uses AI to create legal contracts, fact-check clauses, and analytics and helps users focus on key points and gain a sense of control with the help of Ironclad’s knowledge bank. 66 AI Software and Applications Ivy.ai https://ivy.ai/ summaries of legal documents related to city planning, making city planning and This program is a generative AI chatbot that is powered by the user’s content on the processes involved largely accessible to the public. their website and can provide assistance for people who would like to connect more deeply with the owner of a website or the website itself. This software can Looka https://looka.com/ be helpful for websites that are involved in or connected to city planning or Looka streamlines the logo creation process, providing a quick and efficient way potential ideas that are being proposed for city planning because visitors to the to brainstorm and design logos. By inputting a project name and details, Looka website can become more involved and educated through utilizing this chatbot. offers a range of unique logos within minutes. This tool is ideal for designing distinctive logos for city parks, signage, public art, and advertisements. Its ability Jasper https://www.jasper.ai/ to generate diverse and identifiable logos aids cities in enhancing project Jasper works as an independent AI tool to brand products, increase and refine promotion and branding strategies. company strategy, and work as a voice-to-text tool as well as a styling tool. Jasper also works as a project management tool, content creator, and campaign-creating Luminal https://getluminal.com/ tool. A city could use this tool by employing it for project management tasks such Luminal is a tool similar to Excel, it looks at spreadsheets and breaks down data as resource and labor allocation or it could be used to create brand identity and providing answers to complex analytic questions. It works quicker than Excel thoughtful ideas based on new values such as sustainability or green cities. Jasper with options to have it observe and break down data. It can also refine large is easy to use, free, and helps you take your idea to execution. amounts of data which can help with population vs income for example or other large data models. This tool could be used by the city administration to break Jobscan https://www.jobscan.co/resume-builder down poll responses and graph them, it can manage money, and time for staff This application helps users format a resume that is specifically tailored to the and help manage project deadlines. It can also take previous spreadsheets done desired job, and it takes into consideration the existing mechanisms that by hand and refine those helping city admin find loopholes in data/timekeeping. applicant tracking systems utilize to help applicants avoid being disqualified for minuscule details. Similar to the AI lab that our class participated in, the city Magic Studio https://magicstudio.com/ could potentially set up monthly public meetings where individuals can receive This program, highly beneficial for photographers and city promotion efforts, help navigating applications like Jobscan and ultimately improve their resumes. features a “magical erase” function that can remove objects, people, and various elements from images. Its utility extends to enhancing city promotional materials Krisp https://krisp.ai/ and advertisements across various domains, including environmental campaigns, Krisp is a noise-canceling app designed to remove background noise from audio by allowing for the customization and refinement of visual content to better align in real time. Krisp can be employed in city administration to improve the quality with specific marketing and communication objectives. of virtual meetings and communication, ensuring clear and focused discussions among administrators, stakeholders, and the public. Maket AI https://www.maket.ai/ Revolutionizing design with generative AI—Maket empowers everyone to Lalal.ai https://www.lalal.ai/ automate residential floorplans, and 3D renders, and explore limitless styles. To Lalal.ai extracts different parts from audio. For example, you can drop the file of go along with the concept of green city planning and sustainable architecture, your favorite song and divide the lyrics from the musical notes. I’m not sure how using AI for interior design can help with city planning, the planning and this could be used for city planning however I found it to be very cool! creation of public spaces, and improving their efficiency can drastically help any city aiming to become more sustainable, efficiently operated, and green. Legal Robot https://legalrobot.com/ Legal Robot uses AI to effectively improve comprehension and accessibility of MeetGeek https://meetgeek.ai/ legal documents for everyone and could be used to generate plain-language MeetGeek records video and audio of meetings held online and provides both a 67 AI Software and Applications full transcript of the meeting and a generated summary of the key information. Namelix https://namelix.com/ This AI can help planners and city officials stay more engaged in a meeting while Namelix is an AI tool that generates short, brandable business names based on it happens without having to keep track of all the information on their own or entered criteria. This technology can significantly aid small businesses or start- help those who are not able to attend a meeting understand what progress has ups in a city by simplifying the branding process and enhancing their success been made. within the community. Besides business naming, Namelix’s versatility extends to public uses such as naming public spaces, transportation systems, or street Mesa https://www.sidewalklabs.com/products/mesa names, streamlining the brainstorming process, and providing creative, suitable A product of Sidewalklabs, Mesa is an AI tool for easy automation of building naming options with just a click. system controls. It can be used to optimize the efficiency of lighting, HVAC, and other building systems. This is something that would typically only be accessible Natural Readers https://www.naturalreaders.com/online/ to the wealthiest clients but with AI this type of sustainable automation can be Natural Readers is a Text-to-Speech (T2S) program that can convert any text into incorporated in all types of projects. spoken words. This program offers a lot of features like adjusting the speed of audio, conversion into mp3, selection of voice, etc. Similar to deep media, Methexis https://replicate.com/methexis-inc/img2prompt Natural readers could serve as a utility tool for tourism and tourist attraction, as Another open source image generator allows you to add your data such as images its primary use is to convert text to speech. I see this program being used in and language models to alter and tweak how prompts are written and how your museums, public parks, public transportation, and other resources open to the pictures are changed. This could allow the govt of towns or cities to show what public, not only could this be used to appeal to tourism, but as well as the things could look like if what their fighting for goes through. Ex. A green space illiterate population in larger cities and metropolitan areas. with no trash to push initiatives to keep your community clean, things of this capacity. Otter AI https://otter.ai Otter.ai is a tool that uses advanced machine learning to transcribe speech into Midjourney https://www.midjourney.com/home?callbackUrl=%2Fexplore accurate, searchable, and editable text, enhancing productivity and Midjourney is a versatile program designed to enable users to create highly documentation. It can significantly aid stenographers in their detailed work by imaginative images, such as land use and development projects. The underlying transcribing various meetings, court cases, and speeches. Otter AI distinguishes power of Midjourney makes it a valuable tool for visualization. Its capabilities can between speakers, attributes dialogue, and provides contextual transcripts. It be leveraged for designing posters, images for events, or community-engaging summarizes lengthy audio, offers keyword identification for easy navigation, and visual content, demonstrating its utility in city planning and community projects. extracts key insights. After review by professionals, these transcripts can be made Mixo.io https://www.mixo.io/ publicly available, promoting transparency and honesty in government-public Mixo.io is a generative AI tool capable of creating multilingual websites and relations. gathering customer feedback, equipped with subscriber management tools to Pika https://pika.art/ grow audiences. This software is particularly useful for city planners, facilitating Pika is a text-to-video (T2V) website that allows users to create videos based on direct engagement with both residents and tourists. It helps in understanding prompts or even additive to videos that are already a thing. This could be useful public preferences for city development, overcoming language barriers, and for architects, housing developers, and even for videographers who want to put a fostering informed participation. By enabling planners to share proposed city creative twist to their work. designs and gather community feedback, Mixo.io enhances public involvement in urban planning, promoting more community-favored designs and potentially Point-E https://huggingface.co/spaces/openai/point-e boosting tourism. Point-E is a text-to-image software that generates 3D models from user prompts. It’s particularly useful for city planners and designers, enabling them to visualize 68 AI Software and Applications their designs in realistic 3D formats. This aids in creating more detailed and can clone the speaker’s voice into many other languages. This technology can be intricate designs, especially in the later stages of construction. The software’s used in online presentations, public hearings, and informational videos to quickly ability to turn word prompts into 3D models allows planners to preview potential provide information to non-English speakers. The city must make a concerted ideas and see how specific items or spaces might appear before actual effort to provide non-English speakers with the same information that English development. This feature is crucial for assessing the functionality and spatial speakers are provided, and many city governments have been intentional about arrangement in city planning, ensuring better integration of elements in the providing Spanish translation on documents, pamphlets, signage, and more. planned spaces. However, this software can make city communications instantly more equitable and accessible for people from over 130+ different language backgrounds. PyTorch https://pytorch.org/ This program is an open-source learning framework that is known for its Rationale https://rationale.jina.ai/ dynamic computational graph. This can be used for image recognition in urban Rationale is an AI-driven software designed to aid in making rational decisions by areas and help in the analysis of city features and their changes throughout time. considering all relevant factors and user backgrounds. It can be particularly useful in land use and zoning decisions, enabling city planners to thoroughly Quillbot https://quillbot.com/summarize evaluate local regulations and impacts. This software acts as a vital tool for city Quillbot is an AI paraphrasing tool that helps rewrite and summarize text. planners faced with multiple viable options, helping to navigate and resolve Quillbot can be used in city planning to quickly generate summaries of complex decision-making scenarios. By integrating Rationale into planning documents, helping officials digest a lot of information to make informed processes, cities can ensure more informed, balanced, and effective planning decisions. outcomes. Quizlet https://quizlet.com/ REimagine Home https://www.reimaginehome.ai/ Quizlet uses AI to improve individual learning through interactive flashcards and REimagine Home is a generative AI tool specialized in redesigning rooms swiftly study materials. City planners can use Quizlet to create educational materials for and efficiently. It’s particularly useful in city planning for updating major training programs and learning resources for staff and community members. buildings like city halls, enabling them to blend into newly designed urban Rapid AI https://rapideditor.org/#14/-18.221/35.1573 spaces. This AI facilitates the modernization of historical buildings and rooms, The Rapid AI software is an intuitive system of advanced mapping tools, aligning them with contemporary trends and needs without complete authoritative geospatial open data, and cutting-edge technology to empower deconstruction. Its application extends beyond homes to underutilized spaces, mappers at all levels to get started quickly, making accurate and fresh edits to enhancing tourism, education, hospitality, and sustainable planning, ensuring maps. A natural continuation of satellite imagery software such as Google Earth spaces are effectively used by the public. and ESRI, Rapid AI would facilitate cities by creating easily readable, accessible, Replicate https://replicate.com/ and varied maps of all city functions. With constantly updated satellite Replicate offers a platform where users can run and fine-tune open-source AI information and a wide array of analytical tools, this software would, possibly in models with just one line of code, simplifying the process of deploying custom conjunction with the UrbanForm AI, create varied, informative, and interactive models at scale. It hosts a variety of the latest open-source models, ensuring they maps of cities for public access, from simple land use maps to historic locations are more than mere demos by providing production-ready APIs. This service is and much more. designed to make AI accessible and practical, moving it beyond academic papers Rask https://www.rask.ai/ and prototypes, by allowing cities to easily implement these models in real-world Rask AI is an application that can quickly translate audio and video into 130+ applications through Replicate. languages. Its software is capable of translating multiple speakers at once and it 69 AI Software and Applications Riffusion https://www.riffusion.com/ accessible urban landscape. Its capabilities in analyzing and optimizing urban Riffusion, a program that generates songs from typed lyrics, offers an innovative spaces make it invaluable for planning cities that prioritize the well-being and way to enhance presentations and city-planning events. By simply inputting convenience of their inhabitants. lyrics and selecting a genre, users can create customized music. This feature adds an element of excitement and creativity to otherwise standard presentations, Simio https://www.simio.com/ potentially making city planning meetings more engaging and enjoyable. The Simio is a simulation software that helps in modeling and analyzing complex ability to tailor music to the theme of the event or presentation topic can create a systems, including transportation, manufacturing, and logistics. It provides a more immersive and dynamic experience for attendees, fostering a more vibrant visual environment for modeling and optimizing processes, allowing city and interactive atmosphere. This tool can be a valuable asset in making city- planners to evaluate different scenarios and optimize resource allocation. Simio related events and discussions more appealing and memorable. can be used for city planning to simulate various urban processes like traffic flow, public transportation, emergency response, and resource allocation. It enables Scenario https://www.scenario.com/ planners to identify bottlenecks, optimize operations, and improve the overall This software is designed for developing gaming interfaces and creative graphics. efficiency of city systems. While the idea may seem unconventional, applying gamification to city council meetings could make them more interactive and appealing to residents. SimWalk https://www.simwalk.com/ Similarly, creating gamified experiences for tourist attractions could enhance This simulation software uses AI algorithms to model pedestrian movements their appeal, potentially drawing more visitors. This approach leverages the within urban areas. This can be valuable for designing and optimizing public engaging nature of games to foster greater interest and participation in city spaces, transportation hubs, and event planning. affairs and tourism. Slidesai https://www.slidesai.io/ Sentient Technologies https://www.sentient.io/index This software can generate slides for presentations in seconds. This could be Sentient Technologies offers AI solutions for optimization problems. In city useful in administration as less time will be spent formatting each slide but can planning, it can be applied to optimize traffic flow, resource allocation, and other be instead be used more productively in research and strategizing. complex urban challenges. SQLAI.ai https://www.sqlai.ai/app Sholarcy https://www.scholarcy.com/ SQLAI.ai allows users to generate SQL and NoSQL queries by explaining what Sholarcy generates a summary of an article, providing key takeaways and they want in text, which improves your SQL knowledge and helps you connect information. This AI can help planners learn more about a subject when with data sources. City Application: The application might facilitate real-time completing research for a project without taking up massive amounts of time. connectivity to city data sources, allowing for up-to-date analysis and decision- making. Sidewalklabs https://www.sidewalklabs.com/ Sidewalklabs is an AI-powered design tool aimed at enhancing the livability, Stable Diffusion https://chat.openai.com/ walkability, and sustainability of urban environments. It serves as a crucial Stable Diffusion enables you to create a creative process from text descriptions to resource for architects and city planners, bridging the gap between public rights image-generated models. AI enables the simulation of urban environments, of way and private property developments. By focusing on creating cohesive offering planners visual insights into the potential impact of proposed changes on urban spaces, Sidewalklabs facilitates the integration of public and private areas, factors like traffic flow, pedestrian movement, and overall urban design. ensuring seamless transitions and harmonious designs. This tool aids in StreetLight Data https://www.streetlightdata.com/ developing urban layouts that are not only aesthetically pleasing but also StreetLight Data specializes in providing mobility analytics and insights using functional and environmentally friendly, promoting a more sustainable and 70 AI Software and Applications location-based data. It can help city planners and administrators understand ensuring a shared vision and smoother construction process in new city travel patterns, optimize transportation infrastructure, and analyze the impact of development, aligning the creators’ ideas with practical execution. various policy changes on traffic flow. Swiftly https://www.goswift.ly/ StreetLight Data, Smart Cities https://www.streetlightdata.com/ai-and- Swiftly provides real-time transit data and analytics to manage and optimize crowdsourcing-fueling-mapping-innovation-to-meet-smart-city-and-mobility- public transportation systems. It can be used by city administrators to monitor needs/ bus and train schedules, analyze ridership patterns, and make data-driven StreetLight Data uses AI to analyze traffic and mobility patterns. It helps city decisions to improve transit efficiency. planners optimize transportation systems, reduce congestion, and plan for infrastructure improvements. Synthicity’s 3D CityPlanner https://3dcityplanner.com/en/ 3D CityyPlanner tool that uses AI for 3D modeling and visualization of urban Streetmix https://streetmix.net/ environments. It enables city planners to create and evaluate different Streetmix is an open-source tool that allows users to design and visualize street development scenarios. layouts. With its user-friendly interface, it enables city planners to experiment with various configurations for pedestrian paths, bike lanes, parking spaces, and TensorFlow https://www.tensorflow.org/ other street elements. Streetmix can be utilized by city administrations to engage This software is an open-source machine learning framework created by Google. with citizens and stakeholders in the planning process. It allows collaborative This program is very flexible and can help planners create models that can street design and encourages community involvement, leading to better-designed predict traffic flow. This can aid in infrastructure decisions and optimize the use streets that address the needs of pedestrians, cyclists, and motorists. of energy. Stunning.so https://stunning.so/ TestFit https://www.testfit.io/ Stunning.so allows users to quickly create functional, professional-looking TestFit is a real estate feasibility platform utilizing AI for rapid iterations, websites by inputting information about what the site should accomplish. This AI optimizing site potential, and accelerating deal-making. This tool is pivotal for can help planners build websites quickly that provide details to the public about urban renewal projects, ensuring they are situated in areas with the highest a project’s goals and the completion timeline. potential for community benefit. It automates the development feasibility process, aiding city planners and administrators in ensuring that city projects are Surf https://apps.apple.com/us/app/surf-story-editor/id1543143876 economically and legally viable. TestFit facilitates the organization of designs, A cutting-edge app designed to help you craft eye-catching visuals for your building layouts, and district zoning. As cities evolve in real-time, it also allows stories effortlessly, This program can help city initiatives to be more eye-popping for ongoing analysis and adjustment of plans. This platform supports sustainable and appealing off the bat to people due to its ability to create visuals and city planning by optimizing space use and conserving green areas, thus templates that are attractive to the eye and inspire curiosity. maximizing existing urban spaces without extensive expansion. SWAPP https://www.swapp.ai/ There’s An AI For That https://theresanaiforthat.com/ SWAPP is an AI tool that specializes in creating architectural construction There’s an AI for That finds an AI program to fit your needs. This is essentially an documents using advanced algorithms. This software significantly streamlines AI-driven browser search for what AI will fit best for the task you need to be the development process by generating detailed construction documents for done. As of this writing, there are more than 11,000 AI’s. City administrators can future city designs and layouts. It aids architects in effectively translating design explore and deploy specific AIs from this collection to address various municipal ideas, possibly sourced from other AI software, into tangible plans. This tasks, such as traffic management, waste optimization, and emergency response. facilitates clear communication with investors and construction workers, 71 AI Software and Applications This x Does Not Exist https://thisxdoesnotexist.com/ development having to do with city planning for community members, allowing A style-based generative adversarial network is capable of producing highly them to have more knowledge going into meetings and hearings. realistic images of a wide array of subjects. This advanced tool is ideal for visualizing future concepts and scenarios that are challenging to depict with Uizard https://uizard.io/ current means, like climate change initiatives or space programs. These vivid Uizard designs digital projects. Uizard can help cities create digital models to images can serve as both references and visually appealing content to inspire and better visualize a plan before conducting it. drive engagement in various topics, providing a powerful means to conceptualize Urban & Regional Planning Resources https://github.com/APA-Technology- and promote forward-thinking initiatives. Division/urban-and-regional-planning-resources TimeOS https://www.timeos.ai/ This repository contains a curated list of different urban and regional planning TimeOS can keep track of and organize users’ schedules across different work- data and technology resources compiled by David Wasserman for the American related applications and write/respond to emails quickly. This AI can help city Planning Association Technology Division. Those interested in the built administrators coordinate with planners and other officials efficiently, and help environment are invited to review and contribute to this repository. When shorten response times to optimize communication. developing a green city plan for sustainability and longevity, it is important to be able to compare different examples of city planning that have been successful and TransCAD https://www.caliper.com/tcovu.htm unsuccessful in the past. This service conveniently retries and compares different TransCAD is a transportation planning software that offers tools for modeling, urban planning data for the convenience of the user. analyzing, and simulating transportation systems. It enables city planners to evaluate transportation infrastructure, traffic flow, and travel demand. TransCAD Urban Observatory http://www.urbanobservatory.org/ facilitates transportation planning and administration by helping cities analyze The Urban Observatory is an online platform that integrates data from various the efficiency and effectiveness of their transportation networks. It can be used to cities worldwide, providing a centralized repository for urban data. It allows users optimize transit routes, assess the impact of proposed infrastructure projects, and to compare and analyze urban metrics, including demographics, health, support sustainable transportation planning initiatives. transportation, and environmental data. City Application: Urban Observatory assists city administrations in accessing a vast range of urban data and Trint https://trint.com/ comparisons with other cities. It supports evidence-based decision-making, helps Trint is a video and text transcribing tool that can take content such as YouTube videos, podcasts, or live speeches and transcribe them into a text document. It UrbanFootprint https://urbanfootprint.com/ can also do the opposite by taking audio such as music, recordings, and lectures UrbanFootprint is an urban analytics platform that merges data analytics with into text. This tool can be used by city admin to increase accessibility to scenario planning to assist city planners. It evaluates the impacts of different land meetings, important news, and political speeches. Trint can also be used to edit use and development scenarios on transportation, energy, and water usage. content and in real time transcribe meetings of news to help populations that are Providing data-driven insights, UrbanFootprint integrates various data sources deaf or have hearing issues. Same with other types of audio or video it can help for quick analysis and visualization of demographics, land use, transportation, anyone with hearing or seeing issues to make all data more accessible to these and environmental factors. This tool aids city administrators and planners in underrepresented groups. comprehending current urban conditions, identifying improvement areas, and exploring potential development scenarios, thereby supporting evidence-based Udemy https://www.udemy.com/ decision-making in spatial planning. Udemy has online courses for just about anything, covering technical topics to professional development, which could be used to foster technical skills UrbanForm https://www.urbanform.us/ UrbanForm revolutionizes city planning by quickly and accurately decoding 72 AI Software and Applications zoning information. It efficiently analyzes zoning maps, lot types, and spaces, other navigation apps is its community-driven approach to gathering and sharing greatly reducing the time and cost traditionally required for such tasks. This tool traffic data. Waze data can provide insights into the effectiveness of public aids city planners in evaluating land for various uses and streamlines the transportation routes and identify areas where transit services may need planning process by eliminating intermediaries. Additionally, it empowers improvement. Planners can then use this information to optimize bus routes or residents to understand zoning regulations for their properties and nearby areas, plan for any new transit infrastructure. facilitating informed decisions about potential future developments. Youper https://www.youper.ai/ Versy https://www.versy.ai/ This software is an accessible resource for mental healthcare and allows users to Versy, leveraging AI, transforms text into virtual realities, enabling planners, communicate with a chatbot that is “safe and clinically validated.” This resource architects, and designers to preview and refine urban and environmental could be important for city planning and administration because it can allow projects. It facilitates immersive exploration of green spaces and city plans, citizens to have easier access to mental health resources, making cities healthier offering tangible previews for investors, residents, and tourists. This innovative mentally and changing how cities function in certain capacities. Less mental approach fosters community involvement and support, providing a realistic health crises in cities can play a major role in how a city functions and can glimpse of potential developments before they are physically realized, thereby improve resources or monetary allocation in other areas. enhancing decision-making and fostering positive public perception of future projects. ⚫ Visoid https://www.visoid.com/ Visoid creates AI-powered visualization. Visoid can help city planners construct plans before applying them to the real world. Voice Note https://voicetotext.org/speech-to-text This is an AI software that can recognize human speech and convert it to text. This can be very helpful in speeding up the note-taking process and creating documents that can summarize meeting/planning ideas. Voice Notebook https://voicenotebook.com/ Voice Notebook is a voice recognition tool that takes speech and turns it into text on the fly. It works by using a good external mic commonly found at public meetings and documents what’s being said. It can also take existing audio files and convert them into text by submitting them to the software. This tool could be used at city meetings to record meetings and have a documented sheet of policies discussed. In doing so access increased to people who can’t livestream or make the meetings. It’s also a good tool to increase accessibility to those with mobility and hearing issues. Waze https://www.waze.com/live-map/ Waze is a GPS navigation app that provides real-time traffic information, route planning, and other navigation-related services. What sets Waze apart from 73 References A. Androutsopoulou, N. Karacapilidis, E. Loukis, Y. Charalabidis, (2019). Government Information Quarterly. Transforming the communication between citizens and government through AI-guided chatbots. GIQ, Vol.36, Issue 2. (p.358-367). 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These are organized by the following categories: • Compilations • Audio • Code • Design • Health and Wellness • Images • Large Language Models / Chatbots • Maps and Navigation • Presentations • Productivity • Research / Education • Text / Writing • Urban and Regional Planning • Video 114 AI Timeline he Green Cities AI website has a chronology of AI events T including technological and cultural milestones at https://blogs.uoregon.edu/artificialintelligence/ai-timeline/. Excerpt 2016 Tay – Microsoft’s chatbot Tay becomes controversial. Explainable AI (XAI) – DARPA’s Explainable AI (XAI) program Lo and Behold: Reveries of the Connected World (film) – Werner Herzog’s exploration of the Internet and the connected world. Morgan (film) – How could sentient androids be evaluated and controlled? AlphaGo (game) – Google’s AlphaGo defeats Go world champion Lee Sedol. Westword (TV) – Could androids be designed for every human appetite to be indulged without consequence? (original movie 1973) 2016-current AI Spring – An ongoing period of rapid and unprecedented development in the field of artificial intelligence, with the generative AI race being a key component of this boom, which began in earnest with the founding of OpenAI in 2016. 115 Glossary he Green Cities AI website has a glossary of more than 100 T artificial intelligence (AI) terms and concepts at https://blogs.uoregon.edu/artificialintelligence/ai-glossary/. Excerpt technological singularity (also the singularity) – A hypothetical point in the future when technological growth becomes uncontrollable and irreversible, resulting in unfathomable changes to human civilization. technopolis – A technologically advanced city. token – A sequence of characters or a piece of a word that a chatbot can process to interpret what a human user is saying. Reading tokens instead of entire words makes it easier for chatbots to understand what a user writes, even if misspellings or foreign languages are present. For example, if someone writes weress my odrer?, advanced chatbots leveraging tokens can piece together and accurately respond to this question. training data – Labeled datasets input to supervised machine-learning models to teach them relationships they can infer from the data. A prototypical example is a collection of images labeled by what they contain in a separate spreadsheet. The quantity, quality, and degree of representation in these datasets have important implications for how the models created from them perform in real-world applications and the degree of bias they operate with. 116 AI Font he Green Cities AI students designed or selected a wide variety T of icons to be converted into a digital font for use in documents, graphics, and other applications. The free “Artificial Intelligence” TrueType font can be downloaded at https://www.1001freefonts.com/artificial-intelligence.font Samples 117 Message in a Bottle he Green Cities AI students participated in a public art project T in which they composed poems with GenAI, placed them in small bottles, and hid them in the public environment to be discovered and enjoyed by random persons. A complete description of the program and the final compilation of poetry and images can be downloaded from the project webpage: https:// blogs.uoregon.edu/artificialintelligence/cookies-easter-eggs/ Excerpt 118 Index AI Programming .............................................................. 17 AI Software and Applications ........................................ 58 Air Quality ...................................................................... 20 City Communications ..................................................... 21 City Generative AI Policies .............................................. 8 Climate Change .............................................................. 22 Community Education ................................................... 24 Community Engagement ............................................... 26 Emergency Management ............................................... 28 Food ................................................................................. 28 Green Space .................................................................... 30 Health and Safety ........................................................... 33 Hospitality and Tourism ................................................ 36 Housing ........................................................................... 37 Implementation Actions ................................................. 17 Infrastructure .................................................................. 39 Mobility ........................................................................... 42 Public Art ........................................................................ 43 Public Information Meetings ......................................... 13 Public Space .................................................................... 44 Transportation ................................................................ 45 Urban Agriculture .......................................................... 48 Urban Ecology ................................................................ 49 Urban Planning .............................................................. 53 Walkability ..................................................................... 55 Water Resources. ............................................................ 56 119 120