Managing AI Risks: A RAND Research Report

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RAND Corporation·rand.org/pubs/research_reports/RRA2273-1.html

Credibility Rating

4/5

High(4)

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

Rating inherited from publication venue: RAND Corporation

A RAND Corporation report offering policy-oriented analysis of AI risk management; useful for understanding how major think tanks frame AI safety priorities and governance recommendations for institutional audiences.

Metadata

Importance: 55/100organizational reportanalysis

Summary

A RAND Corporation research report examining frameworks and strategies for managing risks posed by advanced AI systems, addressing governance, policy, and technical safety considerations for policymakers and stakeholders.

Key Points

•Provides structured analysis of AI risk categories and management approaches relevant to near- and long-term AI development
•Examines institutional and governance mechanisms for oversight of AI systems, including corrigibility and shutdown considerations
•Addresses resource allocation and research priority-setting within AI safety efforts
•Offers policy-oriented recommendations aimed at government and organizational decision-makers
•Situates AI risk management within broader national security and societal resilience frameworks

Cited by 2 pages

Page	Type	Quality
Corrigibility Failure Pathways	Analysis	62.0
AI Safety Research Allocation Model	Analysis	65.0

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