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RAND Perspectives on AI Safety and Governance
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: RAND Corporation
This RAND Corporation Perspectives paper likely covers AI governance or safety policy; content could not be retrieved, so metadata is based on RAND's publication format and URL pattern. Users should verify the specific topic directly.
Metadata
Importance: 40/100organizational reportanalysis
Summary
This RAND Corporation research publication (PEA3776-1) addresses policy and governance considerations related to artificial intelligence, likely examining risks, regulatory frameworks, or national security implications of advanced AI systems. Without access to the full content, the resource appears to be a RAND 'Perspectives' paper, which typically offers analysis and recommendations on emerging policy challenges.
Key Points
- •Published by RAND Corporation, a leading policy research organization known for rigorous analysis of national security and technology issues.
- •RAND 'Perspectives' papers typically provide expert analysis and policy recommendations on emerging challenges.
- •Likely addresses governance frameworks, risk assessment, or policy recommendations for AI development and deployment.
- •RAND research frequently informs U.S. government and international policymaking on AI safety and security.
Cited by 3 pages
| Page | Type | Quality |
|---|---|---|
| Should We Pause AI Development? | Crux | 47.0 |
| AI Safety Intervention Effectiveness Matrix | Analysis | 73.0 |
| Governance-Focused Worldview | Concept | 67.0 |
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# Understanding the Artificial Intelligence Diffusion Framework
Can Export Controls Create a U.S.-Led Global Artificial Intelligence Ecosystem?
[Lennart Heim](https://www.rand.org/pubs/authors/h/heim_lennart.html)
Expert InsightsPublished Jan 14, 2025
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How can the United States and its key partners maintain leadership in artificial intelligence (AI), manage security risks, and enable the diffusion of beneficial technologies — all at the same time? In response to this problem, the U.S. government issued the U.S. Framework for Artificial Intelligence Diffusion (hereafter, _the framework_) in January 2025. This new framework is intended to achieve these seemingly competing objectives by carefully managing how AI technology is diffused globally.
In this paper, I summarize the key features of the framework to help policymakers and stakeholders understand its mechanisms. Then, I analyze the rationale behind the framework, explaining that it uses _compute_ — the computing power delivered by AI chips — as a strategic leverage point to shape global AI diffusion. Finally, I describe the framework's strategic implications, including changes to existing export controls, the way the framework positions Tier 1 compute providers to lead global
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