Artificial intelligence strategy for the U.S. Geological Survey
Artificial intelligence (AI) can offer opportunities to enhance the science, science delivery, and business operations of the U.S. Geological Survey (USGS). Although USGS staff have proactively adopted AI into our workflows for many years, a comprehensive USGS strategy for AI has not previously been developed. The strategy described here is motivated by the acceleration of AI technological development, the benefits of increased AI adoption to USGS mission delivery as anticipated by USGS staff, rising public concern about the implications and trustworthiness of AI, and emerging Federal directives and guidance about AI. The USGS vision is to continue integrating AI to deliver valuable science for the public good while maintaining high ethical standards, scientific quality and integrity, and compliance with Federal and U.S. Department of the Interior requirements. To realize this vision, the USGS can take steps to (1) develop a strong AI workforce, (2) adapt our organizational approaches to include AI governance and communication, (3) ensure responsible and trustworthy use of AI, (4) modernize our computing and data infrastructure to support AI, and (5) accelerate AI adoption and innovation in the Bureau.
Citation Information
| Publication Year | 2026 |
|---|---|
| Title | Artificial intelligence strategy for the U.S. Geological Survey |
| DOI | 10.3133/cir1562 |
| Authors | 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 |
| Publication Type | Report |
| Publication Subtype | USGS Numbered Series |
| Series Title | Circular |
| Series Number | 1562 |
| Index ID | cir1562 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Science Analytics and Synthesis |