Perspectives on the use of artificial intelligence in entomology

Abstract Artificial intelligence (AI) is rapidly transforming the practice of science, including the field of entomology. Once viewed primarily as a tool for data analysis, AI is now reshaping publishing, research, and teaching in ways that raise both opportunities and concerns. To capture this pivotal moment, we organized a symposium at the 2024 Annual Meeting of the Entomological Society of America titled “Artificial Intelligence (AI) in Entomology: An Aid to Publishing, Research, and Teaching.” Presentations highlighted diverse applications of AI, from generative models that translate Extension materials for underserved audiences, to computer vision systems detecting stored product pests, to tools accelerating the digitization of insect collections, and to experimental manipulations of dominance hierarchies in social insects. Collectively, these case studies illustrate how AI can enhance efficiency, expand the scope of questions that can be asked, and democratize access to advanced research tools. At the same time, they emphasize the importance of careful oversight, given risks such as mistranslations, misclassifications, and overreliance on generative outputs. Beyond research, AI is already reshaping scientific publishing. Drawing on symposium discussions and a review of current policies, we propose baseline recommendations for authors, reviewers, and editors that are now integrated into Entomological Society of America publishing policies. These include transparent disclosure of AI use in acknowledgments and methods, alongside clear boundaries on acceptable applications. Our synthesis underscores that while AI can accelerate entomological science, ongoing dialogue, validation, and ethical guardrails are essential to ensuring trust, integrity, and creativity in the discipline.

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Publication Details

Journal
Annals of the Entomological Society of America
Published
2026-03-27
DOI
https://doi.org/10.1093/aesa/saag006
Primary Topic
Animal and Plant Science Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Perspectives on the use of artificial intelligence in entomology

Theodore P. Pavlic, Melissa Siebert, Alison R. Gerken, Eric W. Riddick et al.
Annals of the Entomological Society of America
Animal and Plant Science Education
article

Perspectives on the use of artificial intelligence in entomology

Theodore P. Pavlic, Melissa Siebert, Alison R. Gerken, Eric W. Riddick, Elizabeth Postema, Rayda K. Krell, Gabriel Zilnik, R. T. Bessin, Jinnie Kim
article en

Abstract

Abstract Artificial intelligence (AI) is rapidly transforming the practice of science, including the field of entomology. Once viewed primarily as a tool for data analysis, AI is now reshaping publishing, research, and teaching in ways that raise both opportunities and concerns. To capture this pivotal moment, we organized a symposium at the 2024 Annual Meeting of the Entomological Society of America titled “Artificial Intelligence (AI) in Entomology: An Aid to Publishing, Research, and Teaching.” Presentations highlighted diverse applications of AI, from generative models that translate Extension materials for underserved audiences, to computer vision systems detecting stored product pests, to tools accelerating the digitization of insect collections, and to experimental manipulations of dominance hierarchies in social insects. Collectively, these case studies illustrate how AI can enhance efficiency, expand the scope of questions that can be asked, and democratize access to advanced research tools. At the same time, they emphasize the importance of careful oversight, given risks such as mistranslations, misclassifications, and overreliance on generative outputs. Beyond research, AI is already reshaping scientific publishing. Drawing on symposium discussions and a review of current policies, we propose baseline recommendations for authors, reviewers, and editors that are now integrated into Entomological Society of America publishing policies. These include transparent disclosure of AI use in acknowledgments and methods, alongside clear boundaries on acceptable applications. Our synthesis underscores that while AI can accelerate entomological science, ongoing dialogue, validation, and ethical guardrails are essential to ensuring trust, integrity, and creativity in the discipline.

Annals of the Entomological Society of America
Agricultural Marketing Service (US), United States Department of Agriculture (US), University of Kentucky (US), New York University Press (US), Field Museum of Natural History (US), Corteva (United States) (US), U.S. Arid Land Agricultural Research Center (US), Arizona State University (US)
Openalex Percentile: Top 8%
Animal and Plant Science Education
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