Public decision-making with synthetic participants for low-income communities
open
Brazil, South America
WS05223
AI agents may generate large volumes of apparently independent opinions, proposals, and consultation responses. Governance systems must preserve authentic participation and prevent automated manipulation of democratic processes. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.