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Growing concerns about the societal risks posed by advanced artificial intelligence (AI) systems have prompted debate over whether and how the U.S. government should promote stronger security practices among private-sector developers.
- Simplified Text
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Concerns about societal risks posed by advanced AI systems have prompted debate about whether and how the US government should promote stronger security practices among private-sector developers
- Confidence Score
- 0.950
- Claim Maker
- The author
- Context Type
- Research Brief
- UUID
- a11667d3-35f6-4863-a8e0-6b3f9a5369ea
- Vector Index
- ✗ No vector
- Created
- February 15, 2026 at 5:20 PM (3 months ago)
- Last Updated
- February 15, 2026 at 5:20 PM (3 months ago)
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3 months ago
https://rand.org/pubs/research_briefs/rba4159-1.html
RAND researchers identified four governance approaches to strengthen security practices among AI developers: government-enforced standards, developer authorization, industry certification, and self-regulation. The study examines trade-offs between security and innovation, offering insights for policymakers.
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