Ethical Considerations and Fundamental Principles of Large Language Models in Medical Education: Viewpoint.

ABSTRACT: This viewpoint article first explores the ethical challenges associated with the future application of large language models (LLMs) in the context of medical education. These challenges include not only ethical concerns related to the development of LLMs, such as artificial intelligence (AI) hallucinations, information bias, privacy and data risks, and deficiencies in terms of transparency and interpretability but also issues concerning the application of LLMs, including deficiencies in emotional intelligence, educational inequities, problems with academic integrity, and questions of responsibility and copyright ownership. This paper then analyzes existing AI-related legal and ethical frameworks and highlights their limitations with regard to the application of LLMs in the context of medic

SUBMITTER: Zhui L 

PROVIDER: S-EPMC11327620 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature