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governance approaches to securing frontier AI
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High(4)High quality. Established institution or organization with editorial oversight and accountability.
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RAND Corporation policy research report providing systematic analysis of governance options for frontier AI; useful for policymakers and researchers studying institutional approaches to managing advanced AI risks.
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Importance: 62/100organizational reportanalysis
Summary
A RAND Corporation research report examining policy and governance frameworks for managing risks from frontier AI systems. It analyzes various regulatory and institutional approaches to ensure frontier AI development proceeds safely, comparing mechanisms across different governance actors and contexts.
Key Points
- •Examines multiple governance mechanisms for frontier AI including licensing, auditing, liability regimes, and international coordination
- •Analyzes tradeoffs between different regulatory approaches and their feasibility given current AI development trajectories
- •Considers roles of governments, industry, and international bodies in securing frontier AI systems
- •Addresses how governance frameworks can keep pace with rapid capability advances in AI
- •Provides policy recommendations grounded in comparative analysis of existing and proposed governance structures
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI Policy Effectiveness | Analysis | 64.0 |
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Governance Approaches to Securing Frontier AI | RAND
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RR-A4159-1
The authors examine how the U.S. government and frontier artificial intelligence model developers can strengthen the industry's security practices. They identify four governance approaches — spanning from federal regulation requiring the adoption of security standards to voluntary partnerships between government and industry — that provide decisionmakers with options to strike the right balance between strengthening security and preserving innovation.
Governance Approaches to Securing Frontier AI
Ian Mitch, Matthew J. Malone, Karen Schwindt, Gregory Smith, Wesley Hurd, Henry Alexander Bradley, James Gimbi
ResearchPublished Oct 7, 2025
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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
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