ChatGPT and the Future of Health Policy Analysis: Potential and Pitfalls of Using ChatGPT in Policymaking

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https://link.springer.com/article/10.1007/s10439-023-03204-2

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https://doi.org/10.1007/s10439-023-03204-2
 http://hdl.handle.net/11603/28073

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UMBC School of Public Policy
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https://orcid.org/0000-0001-9897-0870

Date

2023-04-15

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journal articles
preprints
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Citation of Original Publication

Sifat, R.I. ChatGPT and the Future of Health Policy Analysis: Potential and Pitfalls of Using ChatGPT in Policymaking. Ann Biomed Eng (2023). https://doi.org/10.1007/s10439-023-03204-2

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This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/https://doi.org/10.1007/s10439-023-03204-2.
Access to this item will begin on 10/15/2023

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Abstract

Scholars increasingly rely on new artificial intelligence models for convenience and simple access to necessities due to the rapid evolution of scientific literature and technology. The invention of ChatGPT by OpenAI stands out as a key example of how significant advances in large language model technology have recently changed the field of artificial intelligence (AI). Since ChatGPT’s development, it has been tested by multiple sectors on various topics to see how well it functions in a natural and conversational mode. The crucial question is how much ChatGPT can influence global health policy analysis. In this article, the researcher briefly explains ChatGPT’s potential and the difficulties that users, such as researchers or policymakers, may continue to face.