Researchers Woodrow Hartzog and Jessica M. Silbey argue that artificial intelligence threatens the core of democratic civic institutions—the rule of law, universities, and a free press. Their forthcoming UC Law Journal paper warns that AI’s design erodes expertise, shortcuts collective decision‑making, and isolates individuals from one‑another in ways that undermine public trust.

By framing institutions as adaptive hierarchies built on transparency, cooperation, and accountability, the authors highlight how AI’s opaque algorithms clash with these values. As AI tools proliferate across newsrooms, campuses, and courts, the risk of misinformation and automated bias grows, prompting calls for stronger oversight and ethical standards in government and industry.

Law scholars suggest monitoring AI’s impact on institutional legitimacy as a priority for policymakers. Upcoming hearings in Washington may examine how algorithmic decision‑making reshapes legal precedent. Observers will watch whether legislative reforms can preserve the public‑interest functions of courts, academia, and the press amid rapid technological change for society and democracy today.