# pluralistic agents

AI safety policy needs diverse input, yet the public cannot join every discussion. The work builds pluralistic agents: each AI agent first interviews the person it represents, then speaks for them in a multi-agent deliberation, while a policy-writer agent drafts and revises a budget after each round. In a preregistered study with 746 participants, people rated this process above giving input to a single reasoning model, recovering 68% of the satisfaction gap and 82% of the procedural-justice gap between that baseline and direct participation.

AI safety policy needs diverse input, yet the public cannot join every discussion. The work builds pluralistic agents: each AI agent first interviews the person it represents, then speaks for them in a multi-agent deliberation, while a policy-writer agent drafts and revises a budget after each round. In a preregistered study with 746 participants, people rated this process above giving input to a single reasoning model, recovering 68% of the satisfaction gap and 82% of the procedural-justice gap between that baseline and direct participation.