aceMapping AI Ethics Integration in Postgraduate Health Professions Education: A Scoping Review Through the Lenses of Principlism and Transformative Learning
Background: Artificial intelligence (AI) is disrupting healthcare and health professions education (HPE), creating complex ethical challenges. Despite existing governance frameworks, postgraduate and continuing professional development (CPD) learners require stronger micro-level ethical competence. However, AI-ethics remains insufficiently integrated into postgraduate/CPD curricula with few real-world reflective and interprofessional strategies, raising concerns regarding ethical preparedness. The aim of this st…
AI ethics teaching for postgraduate and continuing-development health learners is limited, superficial and weakly evaluated. That leaves doubts about whether clinicians are ethically prepared for AI in healthcare.
The evidence base is small, at sixteen sources, and mostly non-empirical. It reflects a strong Western worldview, and most studies predate generative AI, which limits how far the findings apply to current tools and settings.
Evidence
- Peer-reviewedThe Clinical Teacher2026-12-01
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Truvace Impact Record TRV-2026-1341, v1: “Mapping AI Ethics Integration in Postgraduate Health Professions Education: A Scoping Review Through the Lenses of Principlism and Transformative Learning.” Truvace, 2026-10-14. /record/TRV-2026-1341 (accessed at citation time). sha256 6b790cb5cb1a314f…
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