Experts in medical education from the University of Pennsylvania discuss the rapid integration of artificial intelligence (AI) in training future physicians. The panel emphasizes that AI has transitioned from an administrative focus to enhancing clinical practice, necessitating immediate upskilling of faculty and development of ethical frameworks. Key benefits include improved diagnostic accuracy and reduced cognitive overload for clinicians. However, concerns arise over dependency on AI, algorithmic bias, and transparency in decision-making. Strategies highlighted include parallel testing of AI tools, diverse sampling in research, and redesigning competency assessments to include bedside skills. The DEFT-AI framework promotes responsible AI use in medical education. Faculty development is crucial, as students typically possess greater AI knowledge than instructors. This discussion underlines the urgency for medical schools to adapt to AI advancements, ensuring that both faculty and students can navigate the complexities of AI in healthcare effectively. Transparency in AI use is identified as essential for building trust among learners and patients.
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