Protecting scientific integrity in an age of generative AI

Revolutionary advances in AI have brought us to a transformative moment for science. AI is accelerating scientific discoveries and analyses. At the same time, its tools and processes challenge core norms and values in the conduct of science, including accountability, transparency, replicability, and...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2024-05, Vol.121 (22), p.e2407886121
Hauptverfasser: Blau, Wolfgang, Cerf, Vinton G, Enriquez, Juan, Francisco, Joseph S, Gasser, Urs, Gray, Mary L, Greaves, Mark, Grosz, Barbara J, Jamieson, Kathleen Hall, Haug, Gerald H, Hennessy, John L, Horvitz, Eric, Kaiser, David I, London, Alex John, Lovell-Badge, Robin, McNutt, Marcia K, Minow, Martha, Mitchell, Tom M, Ness, Susan, Parthasarathy, Shobita, Perlmutter, Saul, Press, William H, Wing, Jeannette M, Witherell, Michael
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Sprache:eng
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Zusammenfassung:Revolutionary advances in AI have brought us to a transformative moment for science. AI is accelerating scientific discoveries and analyses. At the same time, its tools and processes challenge core norms and values in the conduct of science, including accountability, transparency, replicability, and human responsibility (1–3). These difficulties are particularly apparent in recent advances with generative AI. Future innovations with AI may mitigate some of these or raise new concerns and challenges.
ISSN:0027-8424
1091-6490
1091-6490
DOI:10.1073/pnas.2407886121