Hoover Institution (Stanford, CA)— “Designing Liberty in an Algorithmic Age” brought together leading researchers, technologists, entrepreneurs, and policymakers to Hoover on May 1, 2026, to examine one of the defining questions of the modern era: how artificial intelligence will shape democracy, freedom, and public life in the decades ahead. The invitation-only event focused on how societies can govern increasingly powerful AI systems while preserving human agency and democratic accountability.
The gathering opened with remarks from Center for Revitalizing American Institutions scholar and Hoover Senior Fellow Andy Hall, who runs the Free Systems Lab at Stanford University and writes a popular Substack on algorithmic liberty. Hall framed the central challenge confronting institutions today: AI technologies are evolving faster than traditional academic and policy processes can respond, creating an urgent need for new forms of research, governance experimentation, and institutional design. Participants explored what it would mean to create “free systems” — political, technological, and research systems capable of supporting liberty in an age when algorithms increasingly mediate information, decision-making, and governance.
Throughout the day, conversations centered on four interconnected themes: power, representation, information, and research.
The first panel examined who controls advanced AI systems and how that power should be constrained. Speakers from several leading technology organizations discussed the concentration of influence among a small number of frontier AI labs and debated what democratic oversight, accountability, or governance mechanisms may be necessary as systems grow more capable. The discussion reflected growing concern that decisions being made today could shape political and social structures for generations.
A subsequent presentation explored emerging methods for evaluating the political risks associated with highly capable AI systems, including scenarios in which advanced systems could centralize or distort political power. The session highlighted the need for empirical tools that can help policymakers assess risks before technologies are widely deployed.
The second major panel focused on political representation in an era of AI agents and algorithmic assistants. As AI systems increasingly recommend information, shape public discourse, and assist with policy analysis, participants examined whether these systems can faithfully represent human values and political preferences. The discussion emphasized challenges such as manipulation, hidden assumptions, and the difficulty of designing systems that remain trustworthy under real-world pressures.
During a working lunch, attendees rotated through interactive demonstrations by Stanford students showcasing emerging research in the field. Topics included AI-assisted voting recommendations, prediction markets, AI research agents, and digital gaming economies, giving participants an opportunity to engage directly with experimental tools and methodologies.
Afternoon sessions turned to the changing nature of information and research itself. One panel explored how societies can build reliable systems for forecasting and collective decision-making amid growing distrust and information overload. Participants considered the role that prediction markets, AI forecasting systems, and human expertise may each play in helping citizens and institutions navigate uncertainty.
The convening concluded with a forward-looking discussion about the future of universities and scientific discovery in the AI era. Speakers examined how AI tools are rapidly accelerating research processes and considered what a “100x research institution” might look like in practice. The session challenged universities and public institutions to rethink how knowledge is produced, validated, and shared in a world where AI dramatically expands the pace and scale of inquiry.
Across all sessions, the convening underscored a shared conviction: the future relationship between AI and democracy is not predetermined. The institutions, norms, and governance structures built today will play a decisive role in determining whether AI strengthens human freedom or undermines it. Liberty itself will depend on whether democratic institutions can evolve as quickly as the technologies reshaping them.
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