Problem
Research questions and friction points this paper is trying to address.
AI-assisted deliberation
democracy
human agency
friction-robust discourse
online deliberation platforms
AI Should Facilitate Democratic Deliberation at Scale
🤖 AI Summary
论文探讨了如何利用AI促进大规模民主审议，通过降低参与障碍、保持人类自主性等方法解决认知、社交及平台设计等问题。
📝 Abstract
AI systems can strengthen democracy by supporting deliberation at scale by addressing cognitive, social, platform-design, and market-driven frictions, while preserving human agency. Unlike proposals such as liquid democracy that restructure representation through vote delegation, in this position paper, we argue that AI-assisted deliberation offers a more promising path by lowering barriers to meaningful engagement without substituting machine judgment for human choice. Drawing on evidence from online deliberation platforms and experimental research, we identify four guiding principles: preserving agency and autonomy, encouraging mutual respect, promoting equality and inclusiveness, and augmenting rather than substituting active citizenship. We also address critical challenges, including alignment, sycophancy, training bias, and over-reliance on AI systems. We call on the machine learning community to develop deliberation-focused AI systems evaluated not on engagement metrics but on their capacity to facilitate informed, representative, and friction-robust discourse.
Innovation
Methods, ideas, or system contributions that make the work stand out.
AI-assisted deliberation
democratic deliberation
human agency
principles of engagement
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