Back
governance approaches to securing frontier AI
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: RAND Corporation
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.
Metadata
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 |
Cached Content Preview
HTTP 200Fetched Mar 20, 202611 KB
- [Skip to page content](https://www.rand.org/pubs/research_reports/RRA4159-1.html#page-content)
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](https://www.rand.org/about/people/m/mitch_ian.html), [Matthew J. Malone](https://www.rand.org/about/people/m/malone_matthew_j.html), [Karen Schwindt](https://www.rand.org/about/people/s/schwindt_karen.html), [Gregory Smith](https://www.rand.org/about/people/s/smith_gregory.html), [Wesley Hurd](https://www.rand.org/pubs/authors/h/hurd_wesley.html), [Henry Alexander Bradley](https://www.rand.org/pubs/authors/b/bradley_henry_alexander.html), [James Gimbi](https://www.rand.org/about/people/g/gimbi_james.html)
ResearchPublished Oct 7, 2025
- [Share on LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww.rand.org%2Fpubs%2Fresearch_reports%2FRRA4159-1.html&title=Governance+Approaches+to+Securing+Frontier+AI)
- [Share on X](https://x.com/intent/tweet?url=https%3A%2F%2Fwww.rand.org%2Fpubs%2Fresearch_reports%2FRRA4159-1.html&text=Governance+Approaches+to+Securing+Frontier+AI&via=RANDCorporation)
- [Share on Facebook](https://www.facebook.com/sharer.php?u=https%3A%2F%2Fwww.rand.org%2Fpubs%2Fresearch_reports%2FRRA4159-1.html)
- [Email](mailto:?subject=RAND%3A%20Governance%20Approaches%20to%20Securing%20Frontier%20AI&body=From%20RAND%0A%0AGovernance%20Approaches%20to%20Securing%20Frontier%20AI%0A%0AThe%20authors%20examine%20how%20the%20U.S.%20government%20and%20frontier%20artificial%20intelligence%20model%20developers%20can%20strengthen%20the%20industry%27s%20security%20practices%2C%20identifying%20a%20variety%20of%20practicable%20governance%20approaches%20for%20both%20government%20and%20industry.%0A%0Ahttps%3A%2F%2Fwww.rand.org%2Fpubs%2Fresearch_reports%2FRRA4159-1.html)
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. Although some companies have made voluntary security commitments, competitive pressures and inconsistent approaches raise questions about the adequacy of self-regulation. At the same time, government intervention carries risks: Overly stringent security requirements could limit innovation, create barriers for small firms, and harm U.S. competitiveness. In this report, the authors help navigate these issues and identify a variety of practicable policy options for government and industry to strengthen frontier AI security.
For t
... (truncated, 11 KB total)Resource ID:
9d26c747c992b74c | Stable ID: NWU2MTY1Yz