Document Type
Article
Publication Date
2-22-2023
Department
Medicine
Abstract
One valuable application for generative artificial intelligence (AI) is summarizing research studies for non-academic readers. We submitted five articles to Chat Generative Pre-trained Transformer (ChatGPT) for summarization, and asked the article's author to rate the summaries. Higher ratings were assigned to more insight-oriented activities, such as the production of eighth-grade reading level summaries, and summaries highlighting the most important findings and real-world applications. The general summary request was rated lower. For the field of environmental health science, no-cost AI technology such as ChatGPT holds the promise to improve research translation, but it must continue to be improved (or improve itself) from its current capability
Original Publication Information
Anderson, L. B., Kanneganti, D., Houk, M. B., Holm, R. H., & Smith, T. (2023). Generative AI as a tool for Environmental Health Research Translation. GeoHealth, 7(7). https://doi.org/10.1029/2023gh000875
ThinkIR Citation
Anderson, Lauren B.; Kanneganti, Dhiraj; Houk, Mary Bentley; Holm, Rochelle H.; and Smith, Ted, "Generative AI as a Tool for Environmental Health Research Translation" (2023). Faculty and Staff Scholarship. 908.
https://ir.library.louisville.edu/faculty/908
DOI
10.1029/2023GH000875
ORCID
0000-0001-8849-1390
Included in
Artificial Intelligence and Robotics Commons, Environmental Health and Protection Commons
Comments
© 2023 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.