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Artificial intelligence offers scientific agencies new ways to examine large datasets, recognize patterns and support research, but it also requires people, infrastructure and clear responsibilities. This U.S. Geological Survey strategy sets out an agency-wide approach to developing and using AI in Earth and environmental science.
Five goals organize the report: building a skilled workforce, improving organizational coordination, establishing responsible and trustworthy practices, modernizing technical infrastructure, and accelerating adoption and innovation. Examples connect these goals with scientific work, while objectives identify the capabilities needed to put the strategy into practice. The discussion also addresses evaluation, data, collaboration and the relationship between technical tools and scientific judgment. This complete 2026 publication includes its original illustrations, references and glossary, with all author and agency credits retained.
Janice M. Gordon; Alison P. Appling; Alfredo Aretxabaleta; John F. Bechtell; Thomas E. Burley; Janet M. Carter; Peter C. Esselman; Jason C. Fisher; Graham W. Lederer; James M. Mitchell; Neal J. Pastick; Jake Weltzin; Tim Woods. Artificial Intelligence Strategy for the U.S. Geological Survey. U.S. Geological Survey, 2026. https://doi.org/10.3133/cir1562. Public domain U.S. Government publication. Original agency, author and photograph credits retained.