Considerations for governing open foundation models
Science
.
2024 Oct 11;386(6718):151-153.
doi: 10.1126/science.adp1848.
Epub 2024 Oct 10.
Authors
Rishi Bommasani
1
2
,
Sayash Kapoor
3
4
,
Kevin Klyman
1
,
Shayne Longpre
5
,
Ashwin Ramaswami
6
,
Daniel Zhang
7
,
Marietje Schaake
7
8
,
Daniel E Ho
1
7
9
10
11
12
,
Arvind Narayanan
3
4
,
Percy Liang
1
2
Affiliations
1
Center for Research on Foundation Models, Stanford University, Stanford, CA, USA.
2
Department of Computer Science, Stanford University, Stanford, CA, USA.
3
Center for Information Technology Policy, Princeton University, Princeton, NJ, USA.
4
Department of Computer Science, Princeton University, Princeton, NJ, USA.
5
MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
6
Georgetown University Law Center, Georgetown University, Washington, DC, USA.
7
Stanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA.
8
Cyber Policy Center, Stanford University, Stanford, CA, USA.
9
Stanford Law School, Stanford University, Stanford, CA, USA.
10
Department of Political Science, Stanford University, Stanford, CA, USA.
11
Stanford Institute for Economic Policy Research, Stanford University, Stanford, CA, USA.
12
RegLab, Stanford University, Stanford, CA, USA.
PMID:
39388576
DOI:
10.1126/science.adp1848
Abstract
Different policy proposals may disproportionately affect the innovation ecosystem.
MeSH terms
Deep Learning*
Ecosystem*
Public Policy