DOI: 10.1029/2023gh000875 ISSN: 2471-1403

Generative AI as a Tool for Environmental Health Research Translation

Lauren B. Anderson, Dhiraj Kanneganti, Mary Bentley Houk, Rochelle H. Holm, Ted Smith
  • Health, Toxicology and Mutagenesis
  • Management, Monitoring, Policy and Law
  • Public Health, Environmental and Occupational Health
  • Pollution
  • Waste Management and Disposal
  • Water Science and Technology
  • Epidemiology
  • Global and Planetary Change


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.

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