mlsanityData to 14 Oct 2026

Ethics Training Agents: Facilitating Group-Based Ethics Education with Role-Playing and Discussion for Ethical Reflection and Exploration

arXiv 2609.11529 ↗First posted 10 Sep 2026cs.HCcited by 0

On the map: LLM agents and tool use → Educational agents and math problem solving

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Educational agents and math problem solving, one of 16 directions in LLM agents and tool use. Builds on 11 of its 110 references that are in the map. First posted on arXiv 10 Sep 2026.

Builds on

11 of 110 references.

References · 11

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  2. 2023Aligning Language Models to User Opinionscited by 99
  3. 2024Farsight: Fostering Responsible AI Awareness During AI Application Prototypingcited by 28
  4. 2023AHA!: Facilitating AI Impact Assessment by Generating Examples of Harmscited by 26
  5. 2024Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactionscited by 16
  6. 2023Ethical Frameworks and Computer Security Trolley Problems: Foundations for Conversationscited by 11
  7. 2023The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvementscited by 8
  8. 2024Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative Codebook Developmentcited by 6
  9. 2024Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teamscited by 3
  10. 2023"This Applies to the RealWorld": Student Perspectives on Integrating Ethics into a Computer Science Assignmentcited by 1
  11. 2026The Psychology of Learning from Machines: Anthropomorphic AI and the Paradox of Automation in Educationcited by 1

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