审议
共同点
民主
政治学
环境伦理学
心理学
社会心理学
法学
哲学
政治
作者
Michael Henry Tessler,Michiel A. Bakker,Daniel Jarrett,Hannah Sheahan,Martin J. Chadwick,Raphael Köster,Geoff Evans,Lucy Campbell-Gillingham,Tantum Collins,David C. Parkes,Matthew Botvinick,Christopher Summerfield
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2024-10-17
卷期号:386 (6719)
被引量:11
标识
DOI:10.1126/science.adq2852
摘要
Finding agreement through a free exchange of views is often difficult. Collective deliberation can be slow, difficult to scale, and unequally attentive to different voices. In this study, we trained an artificial intelligence (AI) to mediate human deliberation. Using participants' personal opinions and critiques, the AI mediator iteratively generates and refines statements that express common ground among the group on social or political issues. Participants (N = 5734) preferred AI-generated statements to those written by human mediators, rating them as more informative, clear, and unbiased. Discussants often updated their views after the deliberation, converging on a shared perspective. Text embeddings revealed that successful group statements incorporated dissenting voices while respecting the majority position. These findings were replicated in a virtual citizens' assembly involving a demographically representative sample of the UK population.
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