Insights on AI governance, public sector innovation, and democracy
AI and Public Engagement
Public input builds trust when someone has the authority, and the duty, to act on it.
Ben Peterson, Executive Director of the City-County Planning Commission of Warren County, Kentucky, on how What Could BG Be? used AI-supported tools to turn input from nearly 8,000 residents into Bowling Green's next 25-year comprehensive plan.
Ben Peterson, Executive Director of the City-County Planning Commission of Warren County, Kentucky, on how What Could BG Be? used AI-supported tools to turn input from nearly 8,000 residents into Bowling Green's next 25-year comprehensive plan.
Three-Year Multistate Initiative Will Combine Free Mobile AI Learning with Library-Based Programs Helping Residents Navigate Government, Participate in Civic Life, and Solve Community Problems with AI
Three-Year Multistate Initiative Will Combine Free Mobile AI Learning with Library-Based Programs Helping Residents Navigate Government, Participate in Civic Life, and Solve Community Problems with AI
As this week's curator of News That Caught Our Eye, I'm sharing the latest resources available to help public officials think through a proposed data center. Every AI data center and every community is different. These resources provide the tools to help each community think through its decisions about an AI data center, often in a challenging environment.
As this week's curator of News That Caught Our Eye, I'm sharing the latest resources available to help public officials think through a proposed data center. Every AI data center and every community is different. These resources provide the tools to help each community think through its decisions about an AI data center, often in a challenging environment.
A weekly roundup of the most intriguing and impactful stories from the world of artificial intelligence
After the 2025 Los Angeles wildfires, California's Office of Data and Innovation used Engaged California to gather more than 1,300 resident comments. AI helped turn that input into 19 policy options, which residents then deliberated over and ranked. Jeffery Marino explains how clear ownership, with state agencies, local governments, and community groups acting together with support from the Governor's office, turned those priorities into a five-part recovery action plan.
Ben Peterson, Executive Director of the City-County Planning Commission of Warren County, Kentucky, on how What Could BG Be? used AI-supported tools to turn input from nearly 8,000 residents into Bowling Green's next 25-year comprehensive plan.
Three-Year Multistate Initiative Will Combine Free Mobile AI Learning with Library-Based Programs Helping Residents Navigate Government, Participate in Civic Life, and Solve Community Problems with AI
As this week's curator of News That Caught Our Eye, I'm sharing the latest resources available to help public officials think through a proposed data center. Every AI data center and every community is different. These resources provide the tools to help each community think through its decisions about an AI data center, often in a challenging environment.
A new free course from the Allen Lab for Democracy Renovation, The GovLab, and InnovateUS teaches public servants how to design AI-enabled public engagement that turns comments into policy, drawing on 42 real-world examples from 20 countries.
The public conversation about AI has swung from exuberance to alarm, casting AI as an unstoppable force. That framing overlooks the fact that public institutions design, build, buy, and regulate AI, and societies still choose where it leads. This fall, Reboot is organizing its coverage around four connected questions: what capabilities public institutions need, how they can become institutions that listen and learn, what public AI infrastructure requires, and how we measure whether AI is actually creating public value.
AI is making it possible for governments to listen at a scale that was previously impossible, turning thousands of comments, service interactions and other signals into usable knowledge. But automated synthesis is not neutral: every act of compression determines what becomes visible, what disappears and ultimately what institutions come to know. If AI is to strengthen democracy rather than flatten it, AI-assisted listening must meet a higher standard: fidelity to what people actually said, preservation of plurality and disagreement, traceability back to the underlying evidence, contestability by those being represented, and a clear connection between what is heard and consequential decisions.
Two trends are unfolding in parallel around the world. Public anxiety about artificial intelligence is growing while communities’ satisfaction in how they participate in civic activities and contribute to government policy and programs is declining. Pathways to resolve this tension are emerging as governments find ways to use these technologies to help communities participate more meaningfully. Examples from Bogotá, Hamburg, Brazil, Mexico and elsewhere show how AI can improve the quality and experience of public engagement while reducing its time and cost. If done poorly, or without safeguards, it can also introduce new risks. However, these can be managed with appropriate process design, regulation and delivery by skilled practitioners.
A Boston Globe editorial argues that Massachusetts should use AI to identify outdated laws, unnecessary reporting requirements, and inefficient regulations, drawing on reforms and pilot programs in other states. Featuring insights from Beth Simone Noveck and Stanford RegLab, it explains how AI-assisted review, paired with human judgment, could reduce administrative burdens and improve government efficiency.
As prediction increasingly shapes decisions about jobs, healthcare, education, and public services, the next frontier is how it organizes society. Drawing on the history of the railroads, this essay argues that policymakers already have a blueprint for governing essential technologies: treat AI as infrastructure, apply public oversight, and ensure that systems central to modern life serve the public interest rather than private power.
At 92NY’s State of America Summit, Beth Simone Noveck, Betsey Stevenson, and Allison Pugh discuss AI, the future of American labor, and whether technology will strengthen public voice or erode human connection.
AI presents real risks, but disengagement leaves its future to others. Drawing on principles of negotiation, mediation, and decision-making, this essay by John Lande, Isidor Loeb Professor Emeritus at the University of Missouri School of Law, argues that democratic societies should approach AI as they would any difficult dispute: by carefully weighing risks and opportunities, exercising sound judgment under conditions of uncertainty, and participating in the decisions that will shape its future. This blog is adapted from a University of Missouri School of Law Legal Studies SSRN paper.
Across elections, work, and education, AI is performing more of the reasoning people once had to do themselves. But the institutions built for a world where humans did that reasoning haven't caught up. This week, candidates learned how to influence chatbot answers before voters ever reach a website. Amazon cut another 14,000 jobs while investing heavily in AI. And a Massachusetts school district doubled down on teaching students the rote mathematics AI already performs better than humans. Meanwhile, new global data suggest AI increasingly rewards judgment while automating routine work. Reboot will take some time off in August, so an extra hefty News that Caught Our Eye this week
Ted Dintersmith and Beth Simone Noveck argue that America’s high school math curriculum remains rooted in the needs of the 19th century rather than the AI era. They call for replacing an emphasis on rote procedures with quantitative reasoning, statistics, probability, and decision-making skills that people actually use. The authors propose using AI to engage thousands of students, educators, parents, and employers in redesigning math education through large-scale, democratic public participation.
The debate about AI has focused on misinformation and AI slop, but those are only part of the story. As AI creates both unprecedented information abundance and information compression, we need a new conception of information literacy—one that encompasses how individuals reason, how communities learn together, and how democratic institutions use AI to become better listeners and problem-solvers.
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