用AI模拟真实声音，帮人练习协商决策，提升共情与多元视角理解。
Agora: Teaching the Skill of Consensus-Finding with AI Personas Grounded in Human Voice
- 通过大模型整合真实人类观点，构建可交互的协商平台。
- 44名学生实验显示，带语音解释的界面显著提升换位思考能力。
- 适合想提升公共讨论素养的学生、公民教育者和政策参与者。
协商式民主理论认为，应对分歧、权衡价值并达成集体决策的能力并非与生俱来，而是通过实践培养。然而，传统协商机制如公民大会仅能覆盖少数人群。我们提出Agora，一个基于大语言模型的AI平台，通过组织真实人类对政策议题的声音，帮助用户通过提出和修改政策建议、听取支持与反对观点，并获得政策调整对预期支持率影响的反馈，锻炼共识构建技能。在44名大学生的初步研究中，使用包含语音解释的完整界面，相比仅展示支持度分布，显著提升了用户的自我报告换位思考能力以及对多视角陈述的接纳程度。结果表明，该方法为扩大公民教育覆盖面提供了可行路径。
原文摘要 · Abstract (English)
Deliberative democratic theory suggests that civic competence: the capacity to navigate disagreement, weigh competing values, and arrive at collective decisions is not innate but developed through practice. Yet opportunities to cultivate these skills remain limited, as traditional deliberative processes like citizens' assemblies reach only a small fraction of the population. We present Agora, an AI-powered platform that uses LLMs to organize authentic human voices on policy issues, helping users build consensus-finding skills by proposing and revising policy recommendations, hearing supporting and opposing perspectives, and receiving feedback on how policy changes affect predicted support. In a preliminary study with 44 university students, access to the full interface with voice explanations, as opposed to aggregate support distributions alone, significantly improved self-reported perspective-taking and the extent to which statements acknowledged multiple viewpoints. These findings point toward a promising direction for scaling civic education.
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