Most conversations about AI in medical education focus on efficiency — faster feedback, streamlined assessment, reduced administrative burden. Dr. Nia Abdullayeva asks a harder question: what happens to the human dimensions of training in the process? In this episode, Nia joins me to explore how AI, used intentionally, can protect rather than displace the relational time that makes good teaching and good medicine possible. We get into the cognitive overload driving compassion fatigue in learners, how AI can support sustainable feedback practices, and why the hidden curriculum in medical training might be one of the places AI has the most to offer. Whether you work in the clinic, the classroom, or the research lab, Nia's perspective on AI and professional identity is one I think will stay with you.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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