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, William J. Sutherland

Publikation: Bidrag til tidsskriftKommentar/debatForskningpeer review

18 Citationer (Scopus)
144 Downloads (Pure)

Abstract

Recent advances in artificial intelligence (AI) have stoked febrile commentary around large language models (LLMs), such as ChatGPT and others, that can generate text in response to typed prompts. Although these tools can benefit research1, there are widespread concerns about the technology — from loss of jobs and the effects of over-reliance on AI assistance, to AI-generated disinformation undermining democracies. Less discussed is how such technologies might be used constructively, to create tools that sift and summarize scientific evidence for policymaking. Across the world, science advisers act as knowledge brokers providing presidents, prime ministers, civil servants and politicians with up-to-date information on how science and technology intersects with societal issues
OriginalsprogEngelsk
TidsskriftNature
Vol/bind622
Udgave nummer7981
Sider (fra-til)27-30
Antal sider4
ISSN0028-0836
DOI
StatusUdgivet - 5 okt. 2023

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