AI tools as science policy advisers? The potential and the pitfalls

Chris Tyler (), K. L. Akerlof, Alessandro Allegra, Zachary Arnold, Henriette Canino, Marius A. Doornenbal, Josh A. Goldstein, David Budtz Pedersen and William J. Sutherland

Nature, 2023, vol. 622, issue 7981, 27-30

Abstract: Large language models and other artificial-intelligence systems could be excellent at synthesizing scientific evidence for policymakers — but only with appropriate safeguards and humans in the loop.

Keywords: Machine learning; Policy; Computer science; Government (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1038/d41586-023-02999-3

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