New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance

📅 2026-09-14
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🤖 AI Summary
论文探讨了如何通过哲学和计算机科学的跨学科方法,评估大型语言模型在支持公民参与过程中的民主应用条件。
📝 Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

Citizen Deliberation
Artificial Intelligence
Democratic Principles
Large Language Models
Political Bias
Innovation

Methods, ideas, or system contributions that make the work stand out.

Interdisciplinary Approach
Democratic Principles
Large Language Models (LLMs)
Citizen Participation
Political Bias
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Bernard Reber
National Centre for Scientific Research and Centre de recherches politiques de Sciences Po