Readying Medical Students for Medical AI: The Need to Embed AI Ethics\n Education

Abstract

Medical students will almost inevitably encounter powerful medical AI systems\nearly in their careers. Yet, contemporary medical education does not adequately\nequip students with the basic clinical proficiency in medical AI needed to use\nthese tools safely and effectively. Education reform is urgently needed, but\nnot easily implemented, largely due to an already jam-packed medical curricula.\nIn this article, we propose an education reform framework as an effective and\nefficient solution, which we call the Embedded AI Ethics Education Framework.\nUnlike other calls for education reform to accommodate AI teaching that are\nmore radical in scope, our framework is modest and incremental. It leverages\nexisting bioethics or medical ethics curricula to develop and deliver content\non the ethical issues associated with medical AI, especially the harms of\ntechnology misuse, disuse, and abuse that affect the risk-benefit analyses at\nthe heart of healthcare. In doing so, the framework provides a simple tool for\ngoing beyond the "What?" and the "Why?" of medical AI ethics education, to\nanswer the "How?", giving universities, course directors, and/or professors a\nbroad road-map for equipping their students with the necessary clinical\nproficiency in medical AI.\n

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