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Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: RAND Corporation

RAND is a major U.S. think tank with significant influence on government AI policy; their research often shapes defense and national security AI guidelines, making it a key reference for governance and policy-oriented AI safety work.

Metadata

Importance: 52/100homepage

Summary

RAND Corporation's AI research hub covers policy, national security, and governance implications of artificial intelligence. It aggregates reports, analyses, and commentary on AI risks, military applications, and regulatory frameworks from one of the leading U.S. defense and policy think tanks.

Key Points

  • Covers AI applications in national security, defense, and military strategy from a policy research perspective
  • Produces reports on AI governance, regulation, and international competition (especially U.S.-China dynamics)
  • Addresses risks of autonomous weapons, AI reliability, and decision-making in high-stakes contexts
  • Provides accessible policy briefs alongside technical analyses for government and defense audiences
  • Examines societal and geopolitical implications of rapid AI capability development

Cited by 19 pages

Cached Content Preview

HTTP 200Fetched Mar 20, 202610 KB
- [Skip to page content](https://www.rand.org/topics/artificial-intelligence.html#page-content)

# Artificial Intelligence

# Artificial Intelligence

RAND studies the potential opportunities and risks of artificial intelligence, including ways to strengthen the AI workforce, countering AI-driven social media manipulation by U.S. adversaries, AI governance and how to make future AI systems safer, potential military applications of AI, how AI is being used in the classroom, and identifying occupations at risk of being replaced by AI.

## Related Topics

- [Cyber and Data Sciences](https://www.rand.org/topics/cyber-and-data-sciences.html)
- [Machine Learning](https://www.rand.org/topics/machine-learning.html)

- [Research\\
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**Strategic Cooperation on Artificial Intelligence** \\
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Mar 10, 2026\\
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![](https://www.rand.org/content/rand/pubs/research_reports/RRA3849-1/_jcr_content/par/teaser.crop.308x173.cm.jpeg/1773319273446.jpeg)](https://www.rand.org/pubs/research_reports/RRA3849-1.html)
- [Commentary\\
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**What to Expect from AI in 2026: Q&A with William Marcellino** \\
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Feb 12, 2026\\
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![](https://www.rand.org/content/rand/pubs/commentary/2026/02/what-to-expect-from-ai-in-2026/_jcr_content/par/teaser.crop.308x173.cm.jpeg/1770932746982.jpeg)](https://www.rand.org/pubs/commentary/2026/02/what-to-expect-from-ai-in-2026.html)

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