Rationale The recent and rapid rise of generative artificial intelligence (AI) necessitates the development of frameworks for educators to prepare their learners for AIinfluenced health care environments. Current and future clinicians will encounter both beneficial and harmful effects of these AI-tools. Therefore, baseline competencies need to be established to ensure effective, efficient, safe and equitable healthcare practices. Six clinical competencies around the use of AI have been developed (Ref 1). This panel will start with an overview of AI-related clinical competencies for healthcare professionals, followed by specific examples of useful and problematic uses of AI in undergraduate and graduate medical education, with a focus on critical appraisal and ethical use of AI in education.
