Recurring Series
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.
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.
This excerpt from Reboot: AI and the Race to Save Democracy was originally published in Fast Company on June 25, 2026.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
In an article originally published in The Times (Scottish Edition), Beth Simone Noveck argues that AI’s most important democratic use is helping governments listen. Drawing on examples from Camden and Scotland, the piece explores how AI could help public institutions process large-scale public input, strengthen participation, and rebuild trust at a time when governments face rising demand and declining capacity.
In the afterword to Gustavo Maia’s forthcoming book Zero-Click Government, Beth Simone Noveck explores the democratic risks and possibilities of anticipatory governance. While supporting efforts to reduce the administrative burdens placed on citizens, she argues that traditional requests and applications also served as an important democratic feedback signal, one that anticipatory systems risk losing when governments act on inferred demand. Her response examines what kinds of participation, transparency, contestation, and institutional learning are needed if public action is increasingly shaped by data and AI.
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