BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation

• URL: http://arxiv.org/abs/2505.03584v1
• Date: Tue, 06 May 2025 14:43:49 GMT
• Title: BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation
• Authors: Lucas Anastasiou, Anna De Liddo,
• Abstract summary: This paper introduces BCause, a discussion system leveraging generative AI and human-machine collaboration.<n>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.
• Score: 3.683202928838613
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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