ChatGPT and large language models in academia: opportunities and challenges.
Journal
BioData mining
ISSN: 1756-0381
Titre abrégé: BioData Min
Pays: England
ID NLM: 101319161
Informations de publication
Date de publication:
13 Jul 2023
13 Jul 2023
Historique:
medline:
14
7
2023
pubmed:
14
7
2023
entrez:
13
7
2023
Statut:
epublish
Résumé
The introduction of large language models (LLMs) that allow iterative "chat" in late 2022 is a paradigm shift that enables generation of text often indistinguishable from that written by humans. LLM-based chatbots have immense potential to improve academic work efficiency, but the ethical implications of their fair use and inherent bias must be considered. In this editorial, we discuss this technology from the academic's perspective with regard to its limitations and utility for academic writing, education, and programming. We end with our stance with regard to using LLMs and chatbots in academia, which is summarized as (1) we must find ways to effectively use them, (2) their use does not constitute plagiarism (although they may produce plagiarized text), (3) we must quantify their bias, (4) users must be cautious of their poor accuracy, and (5) the future is bright for their application to research and as an academic tool.
Identifiants
pubmed: 37443040
doi: 10.1186/s13040-023-00339-9
pii: 10.1186/s13040-023-00339-9
pmc: PMC10339472
doi:
Types de publication
Editorial
Langues
eng
Pagination
20Informations de copyright
© 2023. The Author(s).
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