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Main Author: Hatz, Sophia
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2510.21203
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author Hatz, Sophia
author_facet Hatz, Sophia
contents The analogy between Artificial Intelligence (AI) and nuclear weapons is prominent in academic and policy discourse on AI governance. This chapter reviews 43 scholarly works which explicitly draw on the nuclear domain to derive lessons for AI governance. We identify four problem areas where researchers apply nuclear precedents: (1) early development and governance of transformative technologies; (2) international security risks and strategy; (3) international institutions and agreements; and (4) domestic safety regulation. While nuclear-inspired AI proposals are often criticised due to differences across domains, this review clarifies how historical analogies can inform policy development even when technological domains differ substantially. Valuable functions include providing conceptual frameworks for analyzing strategic dynamics, offering cautionary lessons about unsuccessful governance approaches, and expanding policy imagination by legitimizing radical proposals. Given that policymakers already invoke the nuclear analogy, continued critical engagement with these historical precedents remains essential for shaping effective global AI governance.
format Preprint
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institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Nuclear Analogy in AI Governance Research
Hatz, Sophia
Computers and Society
The analogy between Artificial Intelligence (AI) and nuclear weapons is prominent in academic and policy discourse on AI governance. This chapter reviews 43 scholarly works which explicitly draw on the nuclear domain to derive lessons for AI governance. We identify four problem areas where researchers apply nuclear precedents: (1) early development and governance of transformative technologies; (2) international security risks and strategy; (3) international institutions and agreements; and (4) domestic safety regulation. While nuclear-inspired AI proposals are often criticised due to differences across domains, this review clarifies how historical analogies can inform policy development even when technological domains differ substantially. Valuable functions include providing conceptual frameworks for analyzing strategic dynamics, offering cautionary lessons about unsuccessful governance approaches, and expanding policy imagination by legitimizing radical proposals. Given that policymakers already invoke the nuclear analogy, continued critical engagement with these historical precedents remains essential for shaping effective global AI governance.
title The Nuclear Analogy in AI Governance Research
topic Computers and Society
url https://arxiv.org/abs/2510.21203