ETHICS-2025 Session F4–Workshop: Developing Ethical AI Competencies Through Collaborative Learning: The STRAKER Approach

This interactive workshop introduces participants to STRAKER (Student Training in Responsible AI Knowledge and Ethics Research), a framework for teaching AI ethics through collaborative case study development. Drawing on the structure of the Association for Practical and Professional Ethics' Intercollegiate Ethics Bowl, STRAKER fosters ethical reasoning, critical thinking, and interdisciplinary dialogue around real-world AI dilemmas. After a brief overview of the STRAKER model and its pedagogical foundations, participants will work in small groups to co-create original case studies addressing pressing AI ethics concerns–such as algorithmic bias, surveillance, and automation. The session emphasizes hands-on learning: participants will identify ethical tensions, draft discussion questions, and consider strategies for engaging diverse learners. Attendees will leave with adaptable teaching tools and a clearer sense of how to implement STRAKER's approach in their own classrooms or training settings. The workshop also provides opportunities to join a broader community of educators and researchers committed to advancing responsible AI education.