Research
Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models
May 30, 2024
AI Security
Safeguarding Large Language Models and Why This Matters for the Future of Geopolitics
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VideoPublished Aug 9, 2024
RAND gathered experts in artificial intelligence (AI) and global security for a moderated panel discussion on the increasingly important topic of securing AI and the implications for national and homeland security. Richard Danzig, former U.S. Secretary of the Navy, delivered keynote remarks. This panel followed the publication of RAND research on securing model weights — the learnable parameters that encode the core intelligence of an AI.
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Document Details
- Availability: Web-Only
- Year: 2024
- DOI: https://doi.org/10.7249/CFA2849-1
- Document Number: CF-A2849-1
Citation
RAND Style Manual
Danzig, Richard, Barry Pavel, Michelle Woods, Joslyn Barnhart, Lisa Einstein, Tara Michels, Sella Nevo, and Jim Mitre, AI Security: Safeguarding Large Language Models and Why This Matters for the Future of Geopolitics, Homeland Security Operational Analysis Center operated by the RAND Corporation, CF-A2849-1, 2024. As of April 30, 2025: https://www.rand.org/pubs/conf_proceedings/CFA2849-1.html
Chicago Manual of Style
Danzig, Richard, Barry Pavel, Michelle Woods, Joslyn Barnhart, Lisa Einstein, Tara Michels, Sella Nevo, and Jim Mitre, AI Security: Safeguarding Large Language Models and Why This Matters for the Future of Geopolitics. Homeland Security Operational Analysis Center operated by the RAND Corporation, 2024. https://www.rand.org/pubs/conf_proceedings/CFA2849-1.html.
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