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

• Published in: Nature (London) Vol. 622; no. 7981; pp. 27 - 30
• Main Authors: Tyler, Chris, Akerlof, K. L., Allegra, Alessandro, Arnold, Zachary, Canino, Henriette, Doornenbal, Marius A., Goldstein, Josh A., Budtz Pedersen, David, Sutherland, William J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05.10.2023; Nature Publishing Group
• Subjects: 631/114/1305; 639/705/117; 706/648/453; 706/689/222; Administrative Personnel; Algorithms; Artificial intelligence; Artificial Intelligence - trends; Automation; Biodiversity; Chatbots; Comment; Credibility; Humanities and Social Sciences; Identification methods; Language; Machine Learning; multidisciplinary; Natural language processing; Policy Making; Science; Science policy; United States > US; Policy; Computer science; Government; Machine learning
• ISSN: 0028-0836; 1476-4687; 1476-4687
• DOI: 10.1038/d41586-023-02999-3

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. 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. An interior view of the Welsh Parliament debating chamber showing rows of computer screens