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AI-Enhanced Deliberative Democracy and the Future of the Collective Will

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abstract

This article unpacks the design choices behind longstanding and newly proposed computational frameworks aimed at finding common grounds across collective preferences and examines their potential future impacts, both technically and normatively. It begins by situating AI-assisted preference elicitation within the historical role of opinion polls, emphasizing that preferences are shaped by the decision-making context and are seldom objectively captured. With that caveat in mind, we explore AI-based democratic innovations as discovery tools for fostering reasonable representations of a collective will, sense-making, and agreement-seeking. At the same time, we caution against dangerously misguided uses, such as enabling binding decisions, fostering gradual disempowerment or post-rationalizing political outcomes.

fields

cs.GT 1

years

2025 1

verdicts

REJECT 1

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  • Snowveil: A Framework for Decentralised Preference Discovery cs.GT · 2025-12-20 · reject · none · ref 37 · internal anchor

    Snowveil is a gossip-based decentralized preference aggregation protocol claiming almost-sure finite-time convergence and O(n) expected convergence time using a Borda-plurality rule.