Rebooting Democracy in the Age of AI

This week on Reboot Democracy, Beth Simone Noveck explores how governments can provide safe, affordable access to AI at scale, arguing that the real question is not buy versus build, but who controls the infrastructure. In Research Radar, she examines academic warnings about uncritical adoption and reframes the challenge as one of power and oversight. Luca Cominassi and Beth Simone Noveck then argue that sovereignty and regulation mean little without institutional capacity. Beyond Reboot, Washington, DC, ties AI training to procurement; Colorado debates data center safeguards, Stanford HAI researchers clarify what AI sovereignty requires, and new evidence shows little electoral penalty for AI-enabled deception. NPR examines bot swarms and the U.S. Department of Labor releases a national AI literacy framework.

Building domestic AI systems or reducing reliance on big tech is not the same as making AI work for the public. Examples such as Spain’s ALIA project, the EU AI Act, and Italy’s new AI law show that ownership and regulation go only so far. What really matters is whether public institutions have the people, skills, and authority to oversee these systems once they’re in use.

A new paper urges universities to resist the uncritical adoption of AI, arguing that existing research integrity standards already prohibit much of what institutions are normalizing. Beth Simone Noveck's diagnosis is sharp: vendor dependency, opacity, and hype are reshaping public institutions from the inside. But for governments, refusal isn’t an option. The real question is not whether to adopt AI, but who controls it and on what terms.