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An exploratory survey about using ChatGPT in education, healthcare, and research
OBJECTIVE: ChatGPT is the first large language model (LLM) to reach a large, mainstream audience. Its rapid adoption and exploration by the population at large has sparked a wide range of discussions regarding its acceptable and optimal integration in different areas. In a hybrid (virtual and in-per...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104227/ https://www.ncbi.nlm.nih.gov/pubmed/37066228 http://dx.doi.org/10.1101/2023.03.31.23287979 |
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author | Hosseini, Mohammad Gao, Catherine A. Liebovitz, David Carvalho, Alexandre Ahmad, Faraz S. Luo, Yuan MacDonald, Ngan Holmes, Kristi Kho, Abel |
author_facet | Hosseini, Mohammad Gao, Catherine A. Liebovitz, David Carvalho, Alexandre Ahmad, Faraz S. Luo, Yuan MacDonald, Ngan Holmes, Kristi Kho, Abel |
author_sort | Hosseini, Mohammad |
collection | PubMed |
description | OBJECTIVE: ChatGPT is the first large language model (LLM) to reach a large, mainstream audience. Its rapid adoption and exploration by the population at large has sparked a wide range of discussions regarding its acceptable and optimal integration in different areas. In a hybrid (virtual and in-person) panel discussion event, we examined various perspectives regarding the use of ChatGPT in education, research, and healthcare. MATERIALS AND METHODS: We surveyed in-person and online attendees using an audience interaction platform (Slido). We quantitatively analyzed received responses on questions about the use of ChatGPT in various contexts. We compared pairwise categorical groups with Fisher’s Exact. Furthermore, we used qualitative methods to analyze and code discussions. RESULTS: We received 420 responses from an estimated 844 participants (response rate 49.7%). Only 40% of the audience had tried ChatGPT. More trainees had tried ChatGPT compared with faculty. Those who had used ChatGPT were more interested in using it in a wider range of contexts going forwards. Of the three discussed contexts, the greatest uncertainty was shown about using ChatGPT in education. Pros and cons were raised during discussion for the use of this technology in education, research, and healthcare. DISCUSSION: There was a range of perspectives around the uses of ChatGPT in education, research, and healthcare, with still much uncertainty around its acceptability and optimal uses. There were different perspectives from respondents of different roles (trainee vs faculty vs staff). More discussion is needed to explore perceptions around the use of LLMs such as ChatGPT in vital sectors such as education, healthcare and research. Given involved risks and unforeseen challenges, taking a thoughtful and measured approach in adoption would reduce the likelihood of harm. |
format | Online Article Text |
id | pubmed-10104227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101042272023-04-15 An exploratory survey about using ChatGPT in education, healthcare, and research Hosseini, Mohammad Gao, Catherine A. Liebovitz, David Carvalho, Alexandre Ahmad, Faraz S. Luo, Yuan MacDonald, Ngan Holmes, Kristi Kho, Abel medRxiv Article OBJECTIVE: ChatGPT is the first large language model (LLM) to reach a large, mainstream audience. Its rapid adoption and exploration by the population at large has sparked a wide range of discussions regarding its acceptable and optimal integration in different areas. In a hybrid (virtual and in-person) panel discussion event, we examined various perspectives regarding the use of ChatGPT in education, research, and healthcare. MATERIALS AND METHODS: We surveyed in-person and online attendees using an audience interaction platform (Slido). We quantitatively analyzed received responses on questions about the use of ChatGPT in various contexts. We compared pairwise categorical groups with Fisher’s Exact. Furthermore, we used qualitative methods to analyze and code discussions. RESULTS: We received 420 responses from an estimated 844 participants (response rate 49.7%). Only 40% of the audience had tried ChatGPT. More trainees had tried ChatGPT compared with faculty. Those who had used ChatGPT were more interested in using it in a wider range of contexts going forwards. Of the three discussed contexts, the greatest uncertainty was shown about using ChatGPT in education. Pros and cons were raised during discussion for the use of this technology in education, research, and healthcare. DISCUSSION: There was a range of perspectives around the uses of ChatGPT in education, research, and healthcare, with still much uncertainty around its acceptability and optimal uses. There were different perspectives from respondents of different roles (trainee vs faculty vs staff). More discussion is needed to explore perceptions around the use of LLMs such as ChatGPT in vital sectors such as education, healthcare and research. Given involved risks and unforeseen challenges, taking a thoughtful and measured approach in adoption would reduce the likelihood of harm. Cold Spring Harbor Laboratory 2023-04-03 /pmc/articles/PMC10104227/ /pubmed/37066228 http://dx.doi.org/10.1101/2023.03.31.23287979 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Hosseini, Mohammad Gao, Catherine A. Liebovitz, David Carvalho, Alexandre Ahmad, Faraz S. Luo, Yuan MacDonald, Ngan Holmes, Kristi Kho, Abel An exploratory survey about using ChatGPT in education, healthcare, and research |
title | An exploratory survey about using ChatGPT in education, healthcare, and research |
title_full | An exploratory survey about using ChatGPT in education, healthcare, and research |
title_fullStr | An exploratory survey about using ChatGPT in education, healthcare, and research |
title_full_unstemmed | An exploratory survey about using ChatGPT in education, healthcare, and research |
title_short | An exploratory survey about using ChatGPT in education, healthcare, and research |
title_sort | exploratory survey about using chatgpt in education, healthcare, and research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104227/ https://www.ncbi.nlm.nih.gov/pubmed/37066228 http://dx.doi.org/10.1101/2023.03.31.23287979 |
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