Generative AI for Trustworthy, Open, and Equitable Scholarship
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Published version
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391.13 KB
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Checksum (MD5)
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Author(s)
Bourg, Chris
Kriegsman, Sue
Lindsay, Nick
Sardis, Heather
Stalberg, Erin
Altman, Micah
Date Issued
March 27, 2024
Journal
An MIT Exploration of Generative AI
Publisher
PubPub
Citation
Bourg, Chris, Sue Kriegsman, Nick Lindsay, Heather Sardis, Erin Stalberg, and Micah Altman. 2024. “Generative AI for Trustworthy, Open, and Equitable Scholarship.” An MIT Exploration of Generative AI, March.
Version
Author's final manuscript
Abstract
Generative AI (GenAI) is disrupting the traditional ways we maintain and signal trustworthiness and integrity of science. In this paper, we review the emerging and potential roles of GenAI in science policy and as part of the scientific information infrastructure. We then identify a core set of research questions to enable the use of GenAI with scientific integrity to advance open, equitable, and trustworthy scholarship.
MIT Department
Massachusetts Institute of Technology. Libraries
M.I.T. Press
Terms of Use
Creative Commons Attribution-NonCommercial
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.21428/e4baedd9.567bfd15
