Rebooting Democracy in the Age of AI

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.

AI is making it possible for governments to listen at a scale that was previously impossible, turning thousands of comments, service interactions and other signals into usable knowledge. But automated synthesis is not neutral: every act of compression determines what becomes visible, what disappears and ultimately what institutions come to know. If AI is to strengthen democracy rather than flatten it, AI-assisted listening must meet a higher standard: fidelity to what people actually said, preservation of plurality and disagreement, traceability back to the underlying evidence, contestability by those being represented, and a clear connection between what is heard and consequential decisions.

Two trends are unfolding in parallel around the world. Public anxiety about artificial intelligence is growing while communities’ satisfaction in how they participate in civic activities and contribute to government policy and programs is declining. Pathways to resolve this tension are emerging as governments find ways to use these technologies to help communities participate more meaningfully. Examples from Bogotá, Hamburg, Brazil, Mexico and elsewhere show how AI can improve the quality and experience of public engagement while reducing its time and cost. If done poorly, or without safeguards, it can also introduce new risks. However, these can be managed with appropriate process design, regulation and delivery by skilled practitioners.