Twelve tips for educators supporting learner-centered AI integration in undergraduate medical education.

Abstract

Artificial intelligence is reshaping medical education at a pace that outstrips most institutions' capacity to respond, yet practical, multi-domain guidance for educators remains limited. This article translates the first three levels of the International Advisory Committee for Artificial Intelligence (IACAI) Learner Matrix, the Intrapersonal, Micro, and Meso levels of a five-level socio-ecological framework, into 12 practical tips for educators and curriculum designers. The tips span foundational AI culture and literacy, ethical practice, critical tool evaluation, learning design, clinical skills integration, assessment, career preparation, curriculum co-design, research integrity, workforce readiness, and learner well-being. Each tip identifies a core challenge and offers concrete implementation strategies at the learner and institutional levels. Taken together, the tips provide a coherent, learner-centered scaffold to help educators worldwide prepare learners for AI-augmented practice.