Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice

Abstract

Deliberative democratic theory suggests that civic competence—the capacity to navigate disagreement, weigh competing values, and arrive at collective decisions—is not innate but developed through practice. Yet opportunities to cultivate these skills remain limited, as traditional deliberative processes like citizens’ assemblies reach only a small fraction of the population. We present Agora, an early-stage AI-powered platform that uses LLMs to organize authentic human voices on policy issues, helping users build consensus-finding skills by proposing and revising policy recommendations, hearing supporting and opposing perspectives, and receiving feedback on how policy changes affect predicted support. In a preliminary study with 44 university students, participants using the full interface (with access to voice explanations) reported higher levels of problem-solving skills, internal deliberation, and produced higher quality consensus statements compared to a control condition showing only aggregate support distributions. These initial findings point toward a promising direction for scaling civic education.

Suyash Fulay

MIT PhD

I study large-scale populations computationally using language and graph models, probe how well these models align with different groups, and build systems that leverage AI to improve collective decision-making.