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Cited by 31Research, Science, and AcademiaLaw, AI, and Intellectual PropertyOpen Source Software Innovations

Considerations for governing open foundation models

Bommasani, Rishi, Kapoor, Sayash, Klyman, Kevin, Longpre, Shayne, Ramaswami, Ashwin, Zhang, Daniel, Schaake, Marietje, Ho, Daniel E. +2 more·2024·Science
DOI 10.1126/science.adp1848
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Abstract

Different policy proposals may disproportionately affect the innovation ecosystem

Integrity signals

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Crossref · 10.1126/science.adp1848

Cites

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References 5 · Cited by 31

Authors
Bommasani, R., Kapoor, S., Klyman, K., Longpre, S., Ramaswami, A., Zhang, D., Schaake, M., Ho, D. E., Narayanan, A., & Liang, P.
Affiliations
  • Stanford University (US)
  • Princeton University (US)
  • MIT Media Lab (US)
  • Georgetown University (US)
  • Stanford Institute for Economic Policy Research (US)
ORCID
Venue
Science
Publisher
American Association for the Advancement of Science (AAAS)
Published
2024-10-11
Volume
386
Issue
6718
Pages
151-153
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
DOI
10.1126/science.adp1848
OpenAlex
W4403294432
Cited by
31
References
5
Citations by year
2026: 13 · 2025: 14 · 2024: 4
FWCI
11.61
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
  • Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
Keywords
large language models, AI governance, innovation ecosystems, AI policy, open-source AI
MeSH terms
Deep Learning, Foundations, Public Policy, Ecosystem

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