Development of a Medical AI Ethics Education Module Reflecting AI Competency Framework for Medical Students

Abstract

As artificial intelligence (AI) technologies advance and become increasingly integrated into medicine and healthcare services, there is a growing consensus that it is necessary to prepare medical students to understand and utilize AI in medical education. Research and discussions are ongoing regarding the AI competencies that healthcare professionals should have. There are diverse opinions on how to integrate the necessary AI competencies for medical graduates into existing curricula. However, wide agreement exists regarding the importance of providing sufficient and appropriate education on the ethical aspects of using AI in clinical practice and research. In this paper, the authors aim to introduce practical educational principles, strategies, and methods for educators interested in teaching AI ethics in medicine. To achieve this, the paper (1) introduces the AI competencies and medical ethics competencies that medical school graduates should possess; (2) explains the necessity of fostering AI ethics competencies in medical education; (3) discusses the principles of developing AI ethics education and considerations for implementing such curricula; and (4) presents educational modules that can be utilized to cultivate AI ethics competencies in medical students and young physicians. The authors of the paper hope that the case-based module on medical AI ethics we have developed may contribute to prepare medical graduates who are familiar with the principles and guidelines of medical AI ethics, enabling them to make the best ethical choices in any given environment.

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