AI Security

Safeguarding Large Language Models and Why This Matters for the Future of Geopolitics

Richard Danzig, Barry Pavel, Michelle Woods, Joslyn Barnhart, Lisa Einstein, Tara Michels, Sella Nevo, Jim Mitre

ResearchPublished Aug 9, 2024

A transcript for this video is available via YouTube. The transcript and captions are auto-generated and have not been edited.

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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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 September 11, 2024: 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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