Strategies for Integrating AI into State and Local Government Decision Making: Rapid Expert Consultation (2025)
Chapter: Front Matter
Strategies for Integrating AI into State and
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| Authors | Rayid Ghani1 |
| Linda Langston2 | |
| Nathan McNeese3 | |
| Suresh Venkatasubramanian4 | |
| This rapid expert consultation was produced through the Societal Experts Action Network (SEAN), an activity of the National Academies of Sciences, Engineering, and Medicine that is sponsored by the National Science Foundation. | |
| SEAN links researchers in the social, behavioral, and economic sciences with decision makers to provide actionable guidance on critical and complex issues, including those related to the COVID-19 pandemic, emerging infectious diseases, and extreme weather events. Authorship responsibility for the final content rests with the authors. This rapid expert consultation was produced in collaboration with the National Academies’ Board on Human-Systems Integration (BOHSI). | |
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SEAN is interested in your feedback. Was this rapid expert consultation useful? For further inquiries regarding this rapid expert consultation or to send comments, contact sean@nas.edu or (202) 334-3440. |
1Career Professor, Machine Learning Department and the Heinz College of Information Systems and Public Policy, Carnegie Mellon University
2Langston Strategies Group
3Quattlebaum Endowed Professor of Human-Centered Computing, the Founding Director, Clemson University Center for Human-AI Interaction, Collaboration, & Teaming, and Founding Director of the Team Research Analytics in Computational Environments (TRACE) Research Group, School of Computing, Clemson University
4of the Center for Technological Responsibility, Reimagination, and Redesign, Professor of Data Science and Computer Science, Professor of Humanities, Interim Director of the Data Science Institute, Brown University
Copyright 2025 by the National Academy of Sciences. All rights reserved.
