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AI For Governance

Showing 15 of 80 results in series "AI For Governance"

AI For Governance

Democracy's Compression Problem

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.

Published on Aug 25, 2026 by Beth Simone Noveck

AI For Governance

Learning to Listen: Why AI-Assisted Public Engagement Is a Skill We Need

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.

Published on Aug 10, 2026 by Beth Simone Noveck, Nicholas Biddle and Alex Fischer

AI For Governance

Mississippi's AI Framework Was the Starting Line

Mississippi has released its statewide AI framework. The harder challenge is turning guidance into practice. Drawing on firsthand experience leading the state’s AI workforce efforts, Dr. Kollin Napier of MAIN examines why successful AI adoption depends on sustained investment in training, governance, staffing, and implementation.

Published on Jul 6, 2026 by Dr. Kollin Napier

AI For Governance

From AI Adoption to Public Value: InnovateUS Fall 2026 Live Learning Series

AI adoption in government is accelerating. The next challenge is making sure it creates public value. InnovateUS’s Fall 2026 Live Learning Series explores how public professionals can move beyond using AI to measuring its impact, governing it responsibly, and ensuring it improves outcomes for the people and communities government serves.

Published on Jun 30, 2026 by Agueda Quiroga

AI For Governance

Democracy has a listening problem. These AI tools could actually help

This excerpt from Reboot: AI and the Race to Save Democracy was originally published in Fast Company on June 25, 2026.

Published on Jun 25, 2026 by Beth Simone Noveck

AI For Governance

An Open Society Needs an Open Market: The Compute Problem Cities, Regions, and Nations Share

A new report from the Canadian Anti-Monopoly Project argues that cloud sovereignty is about more than building domestic alternatives. It is about ensuring governments, businesses, and public institutions have autonomy and agency. Using Canada’s highly concentrated cloud market as a case study, the authors explore how procurement policy, competition rules, and interoperability standards could reduce dependence on hyperscalers and create a more competitive marketplace for compute.

Published on Jun 24, 2026 by David Eaves and Curtis McCord

AI For Governance

From Learning to Doing: An AI Coach for Public Engagement

A new AI for Impact-engineered public engagement coach is helping public servants turn what they learned about engagement into practical action. Built by The GovLab, the tool guides practitioners through real planning decisions, asks targeted questions about their specific project, and draws on engagement frameworks, case studies, and practitioner expertise to help them design more effective public participation processes.

Published on Jun 22, 2026 by Manan Gangwani, Kushal Pendekanti and Cevdet Batuhan Isik

AI For Governance

Training Future Leaders to Shape AI in the Public-Interest: Insights from the Barcelona Public-Interest AI Accelerator

A new accelerator in Barcelona is exploring what it takes to prepare future leaders to navigate the emerging field of public-interest AI. The experience underscored that moving from principles to practice demands leaders who understand the technical, political, economic, and ethical dimensions of AI. Leaders who are equipped to ensure these technologies serve public goals, protect rights, and respond to the needs of diverse communities.

Published on Jun 17, 2026 by Patricia Mangeol, Sunnie Gong, Rodrigo Cetina-Presuel and Júlia Devin Altès

AI For Governance

The Future of AI Runs Through Families: A conversation with Anya Kamenetz

What happens when the people working closest to families are forced to confront AI? In this conversation with Elana Banin, journalist Anya Kamenetz reflects on a three-day workshop that brought together service providers, advocates, technologists, policymakers, journalists, and philanthropists to wrestle with that question. The discussion explores why families have been largely absent from AI governance debates, how to shape the trajectory of technological change, and what it would take to build AI with communities rather than for them.

Published on Jun 15, 2026 by Elana Banin

AI For Governance

Civic University – Democracy, AI, and the Public Imagination

As AI transforms how we work, learn, and govern, what role should universities play? In this wide-ranging conversation, Beth Noveck argues that universities should become laboratories for democratic problem-solving, where students work with communities to address public challenges. She outlines a vision for "democratic AI" that puts public purpose, participation, and impact at the center of technological innovation.

Published on Jun 8, 2026 by Beth Simone Noveck

AI For Governance

From digital to AI-enabled government: Kazakhstan's next frontier

Kazakhstan built one of the world’s most advanced digital governments in less than two decades. Now the country is racing into the next phase: AI-enabled governance, sovereign AI infrastructure, and nationwide AI deployment. But this transition is exposing a harder question beneath the ambition: what happens when countries move toward frontier AI systems before large parts of the population have reliable electricity, affordable internet, laptops, or the skills needed to use AI meaningfully?

Published on Jun 3, 2026 by Gulnaz Kordanova

AI For Governance

Leadership is About Setting Goals, Supporting the Team, and Getting Out of the Way

Public servants are asking for leadership training at the same moment AI is reshaping government work. This reflection on InnovateUS’s Foundations of Leadership workshop series explores why the most important leadership challenges today are often deeply human ones: creating psychological safety, building real teams instead of loose groups, giving honest feedback, understanding strengths, and helping people perform under pressure and uncertainty. Across five sessions, participants wrestled with the gap between knowing what good leadership looks like and consistently practicing it within real organizations.

Published on Jun 1, 2026 by Anita McGahan

AI For Governance

Why Effective AI Governance Depends on Strong Justice Systems

As governments rush to regulate AI, many governance frameworks still overlook what happens when people are harmed. This piece argues that AI governance will be tested by legal systems already struggling to deliver equal access to justice. Drawing on the recent report "A People-Centered Justice Approach to Implementing AI Governance," examples from Australia, the Netherlands, and the United States make the case for bringing courts, legal aid organizations, and justice institutions into the center of AI governance design.

Published on May 25, 2026 by Nate Edwards

AI For Governance

The Reports Nobody Reads: How San Francisco Used AI to Declutter Its Municipal Code

In a new piece for the Rethinking Regulation series, Dane Gambrell examines how San Francisco used a custom AI tool developed with Stanford’s RegLab to scan 16 million words of municipal code and identify hundreds of outdated and duplicative reporting requirements across city government. The effort ultimately produced a 351-page ordinance proposing the deletion or consolidation of 174 mandates. The piece offers a grounded look at how AI can help governments make sprawling bureaucratic systems more legible and manageable.

Published on May 19, 2026 by Dane Gambrell

AI For Governance

The Future We Build: Hope and Public Service at Code for America Summit

A reflection from Rob Asaro-Angelo, Senior Fellow at the Burnes Center, from the 2026 Code for America Summit on why optimism in government depends on implementation. Drawing from conversations on procurement reform, service delivery, and AI in the public sector, the piece explores how public servants across the country are turning institutional frustration into practical change and why hope becomes credible when people have the tools, authority, and persistence to make systems work better.

Published on May 18, 2026 by Robert Asaro-Angelo