伦理训练智能体：通过角色扮演与讨论促进基于群体的伦理教育，实现伦理反思与探索
Ethics Training Agents: Facilitating Group-Based Ethics Education with Role-Playing and Discussion for Ethical Reflection and Exploration
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中文总结 AI 辅助
提出伦理训练智能体系统，利用多个不同伦理取向的LLM参与者和主持人智能体，支持STEM学生群体伦理讨论，用户研究显示其能提升参与度、协调性和伦理敏感性。
中文摘要 AI 辅助
针对科学、技术、工程和数学（STEM）学生的群体伦理训练是一项复杂的挑战，需要大量的资源和专业知识。虽然基于活动的教学方法（如角色扮演和讨论）常用于模拟现实场景，但当前实践往往依赖人工操作，且缺乏与有效在线平台的整合以支持群体伦理讨论。在本研究中，我们提出了伦理训练智能体（Ethics Training Agents），一种群体讨论系统，该系统利用多个体现不同伦理取向的大语言模型（LLM）参与者以及一个主持人智能体，实现结构化的人机群体伦理讨论，以促进协作反思。我们开展了一项包含45名STEM本科生的用户研究，以评估学习成果和用户体验。结果表明，我们的系统在群体讨论中支持参与度、协调性和观点采择，并对伦理敏感性产生积极影响。我们还讨论了将多个LLM智能体整合到多人群体环境中以促进STEM学生伦理训练的实用设计策略。
英文摘要
Group-based ethics training for Science, Technology, Engineering and Mathematics (STEM) students is a complex challenge, requiring substantial resources and expertise. While activity-based teaching methods, such as role-playing and discussions, are commonly employed to simulate real-world scenarios, current practices are often manual and lack integration with effective online platforms for supporting group-based ethical discussions. In this work, we propose Ethics Training Agents, a group discussion system that leverages multiple LLM participants embodying distinct ethical orientations, along with a moderator agent, to enable structured human-AI group ethical discussions for collaborative reflection. We conduct a user study with 45 undergraduate STEM students to evaluate the learning outcomes and user experience. The results show that our system supports engagement, coordination, and perspective-taking in group discussions and has a positive influence on ethical sensitivity. We also discuss practical design strategies for integrating multiple LLM agents into multi-human group settings to facilitate ethics training for STEM students.
发表机构
- KAIST（韩国科学技术院）
- Georgia Institute of Technology（佐治亚理工学院）
机构由 AI 辅助整理，请以论文原文为准。
