This educational module introduces medical students to AI ethics in health care through a structured, 90-minute discussion-based session. It addresses the critical need to prepare future physicians for an AI-integrated health care landscape. Through guided discussions and case studies, students explore issues of AI reliability, bias, ethical decision-making, and professional responsibility. The session covers four key areas: content authenticity, ethical implications, impact on medical education, and broader societal effects. When implemented, this resource helps students develop frameworks for evaluating AI tools, making ethical decisions about AI use, and understanding their professional obligations in an AI-enhanced medical practice.
Explore the complete module including a description of the session, the facilitator guide, and the student guide.
Authors
R Logan Jones, MD, Assistant Professor of Medicine, Department of Internal Medicine, Oregon Health & Science University
Karen Anstey, MD, Assistant Professor of Medicine, Section of Allergy and Clinical Immunology, School of Medicine, Oregon Health & Science University