HomeAnnotated BibliographiesGenAI Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education Share: Section NavigationSkip section navigationIn this sectionAnnotated Bibliographies Affirming and Inclusive Engaged Learning for Neurodivergent Students Capstone Experiences Conditions for Meaningful Learning GenAI and Engaged Learning Global Learning Internships Learning Communities Learning on Location: Place-Based Pedagogies Mentoring Service-Learning Student-Faculty Partnership Supporting Neurodiverse and Physically Disabled Students Undergraduate Research Work-Integrated Learning Writing Transfer In and Beyond the University Reference List Entry:Gin, Brian C., Patricia S. O’Sullivan, Karen E. Hauer, Raja-Elie Abdulnour, Madelynn Mackenzie, Olle Ten Cate, and Christy K Boscardin. 2025. "Entrustment and EPAs for Artificial Intelligence (AI): A Framework to Safeguard the Use of AI in Health Professions Education." Academic Medicine 100 (3): 264-272. https://pubmed.ncbi.nlm.nih.gov/39761533/.About this Journal Article: This article applies the Entrustable Professional Activities (EPA) framework—the dominant competency-based assessment model in U.S. medical education—to AI tools, proposing that we assess AI across ability, integrity, and benevolence just as we assess trainees. It operationalizes the novice-to-expert trajectory by defining when students are ready to be ‘entrusted’ to use AI independently in high-stakes clinical settings, directly addressing how assessment can measure progression in both human competency and human-AI collaboration. Recommended by E’lise Nissen.
