Potential risks associated with the use of artificial intelligence in medical education: a review

Abstract

The accelerated development of artificial intelligence (AI) is surpassing society’s ability to adequately assess and define their future roles and implications. This issue has been formally acknowledged in the Bletchley Declaration issued by countries participating in the AI Safety Summit in November 2023 [1, p. 1]. AI has emerged as a transformative force across multiple sectors and holds substantial potential to reshape personalized learning by enabling educational experiences that are adapted to the individual needs, preferences, and learning styles of students [2, p. 761]. Within the context of medical education, which is characterized by an extensive and demanding curriculum, AI has the potential to enhance learning efficiency, support effective time management, and improve the depth and durability of knowledge retention. The application of AI in medical education encompasses a wide range of possibilities, including support in scientific writing and research activities, the development of individualized curricula, enhanced access to up-to-date educational resources, the design of innovative learning strategies, personalization of teaching methods, and the improvement of student assessment and evaluation processes.