Stop Shouting. Start Policymaking.

· Source: AI Policy Perspectives · Field: Government & Public Sector — Digital Government & E-Government, Public Policy & Governance, Civic Technology & Smart Cities · Depth: Intermediate, long

Summary

Carl Miller and Beth Goldberg highlight how AI-powered public deliberation platforms are transforming local governance by fostering consensus. The article details the "Who Cares About Care?" experiment by Camden Council in north London, which used an online space and QR codes to engage over 1,500 residents, 59% of whom had never participated in local decision-making. This initiative, part of the Demos-led Waves project, employs "bridge-based ranking" algorithms to identify common ground on adult social care. The approach draws inspiration from Taiwan's vTaiwan project, which used pol.is to resolve impasses on Uber regulation and online alcohol sales. A similar large-scale digital town hall in Bowling Green, Kentucky, engaged nearly 8,000 residents, generating 4,000 proposals and over a million votes to plan for its population doubling by 2050, with 96% of local leaders reporting actionable mandates. These examples demonstrate AI's potential to move beyond divisive discourse towards unified policymaking.

Key takeaway

For Policy Makers and local government leaders seeking to enhance public engagement and find common ground, consider adopting AI-assisted deliberation platforms. Your traditional town halls often attract unrepresentative samples, but tools like pol.is and the Waves project can engage thousands of residents, including vulnerable groups, by prioritizing consensus over conflict. This approach provides a more precise, actionable mandate, as seen in Bowling Green where 96% of leaders gained clearer direction. Explore pilot programs to integrate these technologies, ensuring transparency and addressing concerns about direct versus representative democracy.

Key insights

AI-driven platforms can identify hidden public consensus, transforming divisive political discourse into actionable policy.

Principles

Method

Platforms like pol.is integrate proposals and votes, mapping participants ideologically. Bridging algorithms then surface content agreed upon by diverse groups, blocking divisive input to foster consensus.

In practice

Topics

Best for: Executive, AI Scientist, Policy Maker, Consultant, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Policy Perspectives.