Insights on AI governance, public sector innovation, and democracy
Showing 2 of 2 results in category "AI and Elections"
AI and Elections
What Is AI For? Four Questions Guiding Reboot This Fall
The public conversation about AI has swung from exuberance to alarm, casting AI as an unstoppable force. That framing overlooks the fact that public institutions design, build, buy, and regulate AI, and societies still choose where it leads. This fall, Reboot is organizing its coverage around four connected questions: what capabilities public institutions need, how they can become institutions that listen and learn, what public AI infrastructure requires, and how we measure whether AI is actually creating public value.
Published on Sep 14, 2026 by Beth Simone Noveck and Elana Banin
AI and Elections
Research Radar: Dreaming Better Elections Into Reality
A new white paper from The Institutional Architecture Lab argues that combating AI-generated deepfakes and synthetic content in elections requires purpose-built institutions. The authors propose Electoral Integrity Institutions that would coordinate across government, tech platforms, and civil society to scan, assess, and respond to synthetic content threats. But the paper also provokes a fundamental question: should we design institutions defensively to react to AI threats, or offensively to build better, more participatory and representative elections?
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