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