AI助力民主协商，探索集体意志的理性表达路径。
AI-Enhanced Deliberative Democracy and the Future of the Collective Will
- 用AI分析群体偏好，发现共识基础
- 强调决策语境影响偏好表达，避免误判
- 适合关注人机协同治理的研究者
本文剖析了长期存在及新提出的计算框架在寻找集体偏好共识方面的设计选择，并探讨其未来技术与规范性影响。文章将AI辅助偏好识别置于民意调查的历史脉络中，指出偏好受决策情境塑造，极少能被客观捕捉。在此前提下，探讨基于AI的民主创新作为发现工具，在构建合理集体意志、促进理解与达成共识方面的潜力。同时警示滥用风险，如强制决策、渐进式去权或事后合理化政治结果。
原文摘要 · Abstract (English)
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.
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