AI Security
Safeguarding Large Language Models and Why This Matters for the Future of Geopolitics
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Event Details
Date: |
July 18, 2024 |
Time: |
4:00–6:00 p.m. Eastern |
Location: |
American Association for the Advancement of Science (AAAS) 12th St. NW and H St. NW, Washington, D.C. |
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Program
Given the dramatic, rapid, and unpredictable rate of change of AI capabilities, there is an urgent need for robust, forward-thinking strategies to ensure the security of AI systems. As many national governments have acknowledged, AI models may soon be critical for national security: They could potentially drive advantages in strategic competition—and, in the wrong hands, enable significant harm.
Please join RAND on Thursday, July 18, 4:00 p.m. Eastern, for a moderated panel discussion on the increasingly important topic of securing AI, and the implications for national and homeland security. Richard J. Danzig, former U.S. Secretary of the Navy, will deliver keynote remarks; Barry Pavel, Vice President and Director, RAND National Security Research Division, will provide introductory remarks; and Michelle Woods, Vice President and Director, RAND Homeland Security Research Division, will provide closing remarks. A brief reception will follow the discussion and Q&A.
Speakers
Keynote Speaker
Richard J. Danzig
Senior Fellow, Johns Hopkins Applied Physics Laboratory; Former U.S. Secretary of the Navy
Introductory Remarks
Barry Pavel
Vice President and Director, RAND National Security Research Division; Director, National Defense Research Institute
Closing Remarks
Michelle Woods
Vice President and Director, RAND Homeland Security Research Division; Director, Homeland Security Operational Analysis Center
Panelist
Joslyn Barnhart
Senior Research Scientist, Google DeepMind
Panelist
Lisa Einstein
Senior Advisor for AI and Executive Director of the Cybersecurity Advisory Committee, CISA
- TM
Panelist
Tara Michels
Applied Research Mathematician; Research, Development and Evaluation lead; AI Security Center, National Security Agency (NSA)
Panelist
Sella Nevo
Director, RAND Meselson Center and RAND Senior Information Scientist
Moderator
Jim Mitre
Vice President and Director, RAND Global and Emerging Risks
Learn More about AI Security
A recent RAND study, Securing AI Model Weights: Preventing Theft and Misuse of Frontier Models, focuses on the potential theft and misuse of foundation AI model weights and details how promising security measures can be adapted specifically for model weights.
For more from RAND on AI, see our collection of featured research and commentary related to artificial intelligence topics.