用AI+人工协作，把混乱的公共讨论变成有行动力的民主议事
BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation
- AI自动整理口语对话为结构化论点
- 通过Telegram机器人实现本地问题实时上报
- 支持自定义摘要与政策建议生成，适合公共政策研究者
公众讨论常因内容零散、理解困难且脱离实际政策而失效。本文提出BCause系统，融合生成式AI与人机协作，将城市生活、政策变革等议题的非结构化对话转化为可执行的民主议事流程。创新包括：（i）将原始对话转为论证性讨论；（ii）通过Telegram机器人实现地理化的议题感知与本地问题上报；（iii）提供可定制的可视化组件，如摘要、主题建模、政策建议与论点聚类。系统强调人类在伦理监督、语境理解与创造性整合中的核心作用，确保民主过程的可信与有效。
原文摘要 · Abstract (English)
Public deliberation, as in open discussion of issues of public concern, often suffers from scattered and shallow discourse, poor sensemaking, and a disconnect from actionable policy outcomes. This paper introduces BCause, a discussion system leveraging generative AI and human-machine collaboration to transform unstructured dialogue around public issues (such as urban living, policy changes, and current socio-economic transformations) into structured, actionable democratic processes. We present three innovations: (i) importing and transforming unstructured transcripts into argumentative discussions, (ii) geo-deliberated problem-sensing via a Telegram bot for local issue reporting, and (iii) smart reporting with customizable widgets (e.g., summaries, topic modelling, policy recommendations, clustered arguments). The system's human-AI partnership preserves critical human participation to ensure ethical oversight, contextual relevance, and creative synthesis.
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