BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909602684076032 |
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| author | Anastasiou, Lucas De Liddo, Anna |
| author_facet | Anastasiou, Lucas De Liddo, Anna |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_03584 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation Anastasiou, Lucas De Liddo, Anna Human-Computer Interaction Artificial Intelligence Computers and Society I.2 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. |
| title | BCause: Human-AI collaboration to improve hybrid mapping and ideation in argumentation-grounded deliberation |
| topic | Human-Computer Interaction Artificial Intelligence Computers and Society I.2 |
| url | https://arxiv.org/abs/2505.03584 |