Artificial scholarship: LLMs in health professions education research

Rachel H Ellaway; Martin Tolsgaard

doi:10.1007/s10459-023-10257-4

Artificial scholarship: LLMs in health professions education research

Adv Health Sci Educ Theory Pract. 2023 Aug;28(3):659-664. doi: 10.1007/s10459-023-10257-4.

Authors

Rachel H Ellaway¹, Martin Tolsgaard²

Affiliations

¹ Department of Community Health Sciences and Office of Health and Medical Education Scholarship, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. rellaway@gmail.com.
² University of Copenhagen, Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

PMID: 37335338
DOI: 10.1007/s10459-023-10257-4

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).

Publication types

Editorial

MeSH terms

Artificial Intelligence*
Authorship
Fellowships and Scholarships*
Health Occupations
Humans
Language