Artificial scholarship: LLMs in health professions education research.

Journal: Advances in health sciences education : theory and practice
Published Date: Aug 1, 2023

Abstract

This editorial examines the implications of artificial intelligence (AI), specifically large language models (LLMs) such as ChatGPT, on the authorship and authority of academic papers, and the potential ethical concerns and challenges in health professions education (HPE).

Authors

  • Rachel H Ellaway
    R.H. Ellaway is professor, Department of Community Health Sciences, and director, Office of Health and Medical Education Scholarship, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; ORCID: https://orcid.org/0000-0002-3759-6624 .
  • Martin Tolsgaard
    University of Copenhagen, Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

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