哲学家在人工智能时代赶上公民审议浪潮的新条件（预印本）
New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance
- National Centre for Scientific Research（国家科学研究中心）
- Centre de recherches politiques de Sciences Po（巴黎政治学院政治研究中心）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
针对AI时代公民审议中LLM应用未实现的潜力，民主公地项目从哲学与计算机科学跨学科视角，提出五项民主原则并聚焦政治偏见，探究LLM在实验性公民参与中民主使用的条件。
AI中文摘要：
被标记为“AI”的强大技术——在没有充分认识论谨慎的情况下——已经在重塑政治和私人生活，为公民参与带来了新的危险和新的机遇。这些参与形式从选举和立法参与延伸到最雄心勃勃的形式：通过公民大会进行政治共创。大型语言模型（LLMs）可以通过调解、翻译、促进、总结和写作辅助来支持这些过程。但这一潜力在很大程度上尚未实现。民主公地项目采取了一种根本性的跨学科方法——从哲学到计算机科学——根据五项拟议的民主原则来评估大型语言模型。该项目的核心是由政治偏见问题驱动：在何种条件下，大型语言模型可以在本身仍 largely 实验性的公民参与形式中被民主地使用？解决这些社会技术问题需要以政治理论为基础，更广泛地说，需要以哲学为基础——这些学科提供了规范框架，没有这些框架，对人工智能系统的民主评估就无法有意义地进行。
英文摘要：
Powerful technologies labeled ``AI''-without sufficient epistemic caution-are already reshaping political and private life, bringing both new dangers and new opportunities for citizen participation. These range from electoral and legislative engagement to the most ambitious form: political co-creation through citizens' assemblies. Large Language Models (LLMs) could support such processes through moderation, translation, facilitation, summarization, and writing assistance. But this potential remains largely unrealized. The Democratic Commons project takes a fundamentally interdisciplinary approach-from philosophy to computer science-to evaluate LLMs against five proposed democratic principles. At its core, the project is driven by the question of political bias: under what conditions can LLMs be used democratically within forms of citizen participation that are them- selves still largely experimental? Addressing these socio-technical questions requires grounding in political theory and, more broadly, in philosophy-disciplines that provide the normative frameworks without which the democratic evaluation of AI systems cannot be mean- ingfully conducted.
