Artificial scholarship: LLMs in health professions education research

Research output: Contribution to journal › Editorial › Research › peer-review

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Artificial scholarship : LLMs in health professions education research. / Ellaway, Rachel H.; Tolsgaard, Martin.

In: Advances in Health Sciences Education, Vol. 28, No. 3, 2023, p. 659-664.

Research output: Contribution to journal › Editorial › Research › peer-review

Harvard

Ellaway, RH & Tolsgaard, M 2023, 'Artificial scholarship: LLMs in health professions education research', Advances in Health Sciences Education, vol. 28, no. 3, pp. 659-664. https://doi.org/10.1007/s10459-023-10257-4

APA

Ellaway, R. H., & Tolsgaard, M. (2023). Artificial scholarship: LLMs in health professions education research. Advances in Health Sciences Education, 28(3), 659-664. https://doi.org/10.1007/s10459-023-10257-4

Vancouver

Ellaway RH, Tolsgaard M. Artificial scholarship: LLMs in health professions education research. Advances in Health Sciences Education. 2023;28(3):659-664. https://doi.org/10.1007/s10459-023-10257-4

Author

Ellaway, Rachel H. ; Tolsgaard, Martin. / Artificial scholarship : LLMs in health professions education research. In: Advances in Health Sciences Education. 2023 ; Vol. 28, No. 3. pp. 659-664.

Bibtex

@article{97373d3a3f684a23be7691a56ac16b52,
title = "Artificial scholarship: LLMs in health professions education research",
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).",
author = "Ellaway, {Rachel H.} and Martin Tolsgaard",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive licence to Springer Nature B.V.",
year = "2023",
doi = "10.1007/s10459-023-10257-4",
language = "English",
volume = "28",
pages = "659--664",
journal = "Advances in Health Sciences Education",
issn = "1382-4996",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Artificial scholarship

T2 - LLMs in health professions education research

AU - Ellaway, Rachel H.

AU - Tolsgaard, Martin

N1 - Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer Nature B.V.

PY - 2023

Y1 - 2023

N2 - 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).

AB - 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).

U2 - 10.1007/s10459-023-10257-4

DO - 10.1007/s10459-023-10257-4

M3 - Editorial

C2 - 37335338

AN - SCOPUS:85162251474

VL - 28

SP - 659

EP - 664

JO - Advances in Health Sciences Education

JF - Advances in Health Sciences Education

SN - 1382-4996

IS - 3

ER -

ID: 367972463