Protecting scientific integrity in an age of generative AI

Wolfgang Blau¹, Vinton G Cerf², Juan Enriquez³, Joseph S Francisco⁴, Urs Gasser⁵, Mary L Gray^{6

7}, Mark Greaves⁸, Barbara J Grosz⁹, Kathleen Hall Jamieson¹⁰, Gerald H Haug¹¹, John L Hennessy¹², Eric Horvitz¹³, David I Kaiser¹⁴, Alex John London¹⁵, Robin Lovell-Badge¹⁶, Marcia K McNutt¹⁷, Martha Minow¹⁸, Tom M Mitchell¹⁹, Susan Ness¹⁰, Shobita Parthasarathy²⁰, Saul Perlmutter^{21

22}, William H Press²³, Jeannette M Wing²⁴, Michael Witherell²⁵

Affiliations

¹ Brunswick Group, London WC2A 3ED, United Kingdom.
² Google Global Networking, Google LLC, Reston, VA 20190.
³ Excel Venture Management, Boston, MA 02116.
⁴ Department of Earth and Environmental Science and Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104.
⁵ School of Social Sciences and Technology, Technical University of Munich, 80333 München, Germany.
⁶ Microsoft Research New England Lab, Cambridge, MA 02142.
⁷ Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408.
⁸ Schmidt Sciences, Washington, DC 20008.
⁹ Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
¹⁰ Annenberg Public Policy Center, University of Pennsylvania, Philadelphia, PA 19104.
¹¹ German National Academy of Science Leopoldina, 06108 Halle, Germany.
¹² Knight-Hennessy Scholars, Stanford University, Stanford, CA 94305.
¹³ Office of the Chief Scientific Officer Microsoft, Redmond, WA 98052.
¹⁴ Program in Science, Technology, and Society and Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
¹⁵ Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213.
¹⁶ Laboratory of Stem Cell Biology and Developmental Genetics, The Francis Crick Institute, London NW1 1AT, United Kingdom.
¹⁷ National Academy of Sciences, Washington, DC 20001.
¹⁸ Harvard University, Cambridge, MA 02138.
¹⁹ Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
²⁰ Science, Technology, and Public Policy Program, University of Michigan, Ann Arbor, MI 48109.
²¹ Department of Physics, University of California, Berkeley, CA 94720.
²² Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.
²³ Department of Computer Science, The University of Texas at Austin, Austin, TX 78712.
²⁴ Office of the Executive Vice President for Research and Computer Science Department, Columbia University, New York, NY 10027.
²⁵ Lawrence Berkeley National Laboratory, Berkeley, CA 94720.

PMID: 38771193
PMCID: PMC11145223
DOI: 10.1073/pnas.2407886121

Editorial

Protecting scientific integrity in an age of generative AI

Wolfgang Blau et al. Proc Natl Acad Sci U S A. 2024.

. 2024 May 28;121(22):e2407886121.

doi: 10.1073/pnas.2407886121. Epub 2024 May 21.

Authors

Affiliations

¹ Brunswick Group, London WC2A 3ED, United Kingdom.
² Google Global Networking, Google LLC, Reston, VA 20190.
³ Excel Venture Management, Boston, MA 02116.
⁴ Department of Earth and Environmental Science and Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104.
⁵ School of Social Sciences and Technology, Technical University of Munich, 80333 München, Germany.
⁶ Microsoft Research New England Lab, Cambridge, MA 02142.
⁷ Luddy School of Informatics, Computing and Engineering, Indiana University, Bloomington, IN 47408.
⁸ Schmidt Sciences, Washington, DC 20008.
⁹ Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
¹⁰ Annenberg Public Policy Center, University of Pennsylvania, Philadelphia, PA 19104.
¹¹ German National Academy of Science Leopoldina, 06108 Halle, Germany.
¹² Knight-Hennessy Scholars, Stanford University, Stanford, CA 94305.
¹³ Office of the Chief Scientific Officer Microsoft, Redmond, WA 98052.
¹⁴ Program in Science, Technology, and Society and Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
¹⁵ Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213.
¹⁶ Laboratory of Stem Cell Biology and Developmental Genetics, The Francis Crick Institute, London NW1 1AT, United Kingdom.
¹⁷ National Academy of Sciences, Washington, DC 20001.
¹⁸ Harvard University, Cambridge, MA 02138.
¹⁹ Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213.
²⁰ Science, Technology, and Public Policy Program, University of Michigan, Ann Arbor, MI 48109.
²¹ Department of Physics, University of California, Berkeley, CA 94720.
²² Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.
²³ Department of Computer Science, The University of Texas at Austin, Austin, TX 78712.
²⁴ Office of the Executive Vice President for Research and Computer Science Department, Columbia University, New York, NY 10027.
²⁵ Lawrence Berkeley National Laboratory, Berkeley, CA 94720.

PMID: 38771193
PMCID: PMC11145223
DOI: 10.1073/pnas.2407886121

No abstract available

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Conflict of interest statement

Competing interests statement:V.G.C., M.L.G., and E.H. are based at organizations that are engaged with developing and fielding AI technologies. J.E. is a Managing Director of a venture capital firm. Many of his businesses are beginning to use and deploy AI. K.H.J. is Program Director of the Annenberg Foundation Trust at Sunnylands, a co-convener of the retreats whose participants authored the statement. J.L.H. is a Director of Alphabet, which invests in and uses AI in its business. M.K.M. is the President of the National Academy of Sciences. T.M.M. received a grant from Microsoft for computing on their Azure cloud computing facility and owns stock in a variety of AI-related companies, Alphabet, Amazon, Meta, Microsoft, and Nvidia. M.W. works for a research institution that is engaged in developing and applying AI in scientific research. All other authors declare no competing interests.

References

1. National Academies of Sciences, Engineering, and Medicine. Fostering Integrity in Research (The National Academies Press, Washington, DC, 2017), 10.17226/21896. - DOI - PubMed
1. National Academies of Sciences, Engineering, and Medicine. Reproducibility and Replicability in Science (The National Academies Press, Washington, DC, 2019), 10.17226/25303. - DOI - PubMed
1. National Academies of Sciences, Engineering, and Medicine. Fostering Responsible Computing Research: Foundations and Practices (The National Academies Press, Washington, DC, 2022), 10.17226/26507. - DOI
1. Aidinoff M., Kaiser D., “Novel technologies and the choices we make: Historical precedents for managing artificial intelligence” in Issues in Science and Technology (2024), 10.58875/BUXB2813. - DOI
1. Gasser U., “Governing AI with intelligence” in Issues in Science and Technology (2024), 10.58875/AWJG1236. - DOI

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Protecting scientific integrity in an age of generative AI

Affiliations

Protecting scientific integrity in an age of generative AI

Authors

Affiliations

Conflict of interest statement

References

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LinkOut - more resources

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