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CSET Georgetown research
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High(4)High quality. Established institution or organization with editorial oversight and accountability.
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A CSET policy analysis relevant to debates about how to regulate frontier AI, particularly for those evaluating analogies between AI governance and arms control regimes like nuclear non-proliferation.
Metadata
Importance: 62/100organizational reportanalysis
Summary
This CSET Georgetown article argues that applying nuclear non-proliferation frameworks to AI governance is fundamentally misguided due to key differences between the technologies. It outlines why AI's diffuse development, dual-use nature, and rapid commoditization make proliferation-style controls impractical and potentially counterproductive. The piece proposes alternative governance approaches better suited to AI's unique characteristics.
Key Points
- •Nuclear non-proliferation relies on controlling scarce physical materials and specialized facilities, conditions that do not map onto AI development.
- •AI capabilities are increasingly commoditized and widely distributed, making supply-side restriction strategies far less effective than with nuclear tech.
- •Applying proliferation frameworks risks creating false security while stifling beneficial AI research and international cooperation.
- •Alternative governance models should focus on norms, standards, transparency, and use-case regulation rather than technology denial.
- •Policymakers need AI-specific frameworks that account for the technology's dual-use nature and rapid pace of diffusion.
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Nuclear Non-Proliferation Is the Wrong Framework for AI Governance | Center for Security and Emerging Technology
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In The News
Nuclear Non-Proliferation Is the Wrong Framework for AI Governance
AI Frontiers
June 27, 2025
CSET’s Lauren A. Kahn and CFR's Michael C. Horowitz shared their expert analysis in an op-ed published by AI Frontiers. In their piece, they examine the growing calls to regulate artificial intelligence in ways similar to nuclear technology.
Read the Op-Ed
CSET’s Lauren A. Kahn and CFR’s Michael C. Horowitz shared their expert analysis in an op-ed published by AI Frontiers . In their piece, they examine the growing calls to regulate artificial intelligence in ways similar to nuclear technology. They highlight recent comments by Demis Hassabis, CEO of Google DeepMind, who suggested creating an international AI oversight body modeled after the International Atomic Energy Agency.
The authors emphasized the limits of the nuclear comparison, noting, “No analogy is perfect, but especially as a general-purpose technology, AI differs so fundamentally from nuclear technology that basing AI policy around the nuclear analogy is conceptually flawed and risks inflating expectations about the international community’s ability to control model proliferation.”
No analogy is perfect, but especially as a general-purpose technology, AI differs so fundamentally from nuclear technology that basing AI policy around the nuclear analogy is conceptually flawed and risks inflating expectations about the international community’s ability to control model proliferation. Lauren A. Kahn and Michael C. Horowitz
To read the full article, visit AI Frontiers .
Authors
Lauren Kahn
Michael C. Horowitz
Original Publisher
AI Frontiers
Originally Published
Jun 27, 2025
Topics
Assessment
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