people-powered gen ai
2024
People-Powered Gen AI: Collaborating with Generative AI for Civic Engagement
Norman B. Leventhal Center for Advanced Urbanism & Civic Data Design Lab
Sarah Williams
Nigel Jacob
Adi Kupershmidt
Rohit Priyadarshi Sanatani
Minwook Kang
Wil Jones
Hannah Nicole Shumway
Addy Smith-Reiman
MIT
Sara Beery
Eden Medina
Boston University
Christopher Conley
City of Boston
Michael Lawrence Evans
Santiago Garces
Emerson College
Eric Gordon
People-Powered Gen AI: Collaborating with Generative AI for Civic Engagement
Norman B. Leventhal Center for Advanced Urbanism & Civic Data Design Lab
Sarah Williams
Nigel Jacob
Adi Kupershmidt
Rohit Priyadarshi Sanatani
Minwook Kang
Wil Jones
Hannah Nicole Shumway
Addy Smith-Reiman
MIT
Sara Beery
Eden Medina
Boston University
Christopher Conley
City of Boston
Michael Lawrence Evans
Santiago Garces
Emerson College
Eric Gordon
People-Powered Gen AI: Collaborating with Generative AI for Civic Engagement

2024
︎︎︎ Playbook (Coming soon)
Generative AI playbook
Norman B. Leventhal Center for Advanced Urbanism &Civic Data Design Lab
Sarah Williams (Director)
Wil Jones (Project Manager)
Rohit Sanatani
Gabi Carucci
City of Boston
Michael Evans
︎︎︎ Playbook (Coming soon)
Generative AI playbook
Norman B. Leventhal Center for Advanced Urbanism &Civic Data Design Lab
Sarah Williams (Director)
Wil Jones (Project Manager)
Rohit Sanatani
Gabi Carucci
City of Boston
Michael Evans
Generative AI playbook
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The Generative AI Playbook for Civic Engagement serves as a practical, research-driven guide to help city officials, urban planners, and community organizations integrate generative AI responsibly and effectively in public engagement efforts. Building on research from workshops with the City of Boston, the playbook translates theoretical insights into actionable frameworks that support urban practitioners in navigating the complexities of AI-augmented civic processes. With its focus on enhancing, rather than replacing, human-centered participation, the playbook offers a step-by-step approach to AI integration that reinforces public trust, transparency, and inclusivity.
Centered on a "people-powered" methodology, the playbook equips civic leaders with practical tools and ethical frameworks to address pressing challenges like data privacy, algorithmic bias, and digital equity. Through comprehensive technical primers, clear implementation guides, and focused real-world case studies, the playbook enables urban practitioners to deploy AI tools that enhance community engagement while prioritizing equity and ethical responsibility.
Key Components
Designed as a practical toolkit, the playbook includes:
- Step-by-step guides for incorporating AI in community workshops, charrettes, and public forums
- Technical primers that contextualize AI fundamentals for urban planning applications
- Best practices for transparent communication about AI’s role and limitations in civic processes
- Guidelines for ensuring equitable access and accessibility in AI-driven engagement initiatives
- Decision frameworks for selecting AI tools based on engagement needs and project goals
- Case studies illustrating successful AI applications in urban planning and community engagement
Impact
The Generative AI Playbook bridges the gap between research and real-world application, providing a pathway for urban practitioners to responsibly integrate AI into civic engagement practices. By focusing on transparency and accountability, the playbook helps municipalities implement AI in ways that support community agency, strengthen public trust, and enhance participatory governance. Its frameworks are adaptable for pilot programs, allowing practitioners to incrementally explore AI’s role in public service while upholding the essential values of equity and inclusivity.
Research Foundation
Rooted in the People-Powered Gen AI research collaboration between MIT and the City of Boston, the playbook draws on in-depth workshops with city officials, community leaders, and residents to provide a nuanced understanding of AI’s opportunities and challenges in civic contexts. This iterative approach ensures that the playbook is informed by practical insights and addresses the unique needs of civic practitioners seeking to responsibly integrate AI into public engagement initiatives.