SOURCE-LINKED INTELLIGENCE
Toward Collective-Centric Evaluation of Preference Inference for Participatory Democracy
To scale up collective decision-making, participatory democracy platforms such as Polis and Remesh enable online deliberation among thousands of participants. However, at this scale, participants cannot review every opinion submitted by others, producing highly sparse voting data that misrepresent patterns of consensus, conflict, and minority support. Platforms therefore increasingly rely on Preference Inference (PI) models to predict missing votes. Yet this automation is not neutral: inferred preferences can artificially amplify, suppress, or reorder existing patterns of support, ultimately r
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T15:23:00.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.