Lessons for AI Governance from Atoms for Peace

In 1953, amid Cold War tensions and the looming threat of nuclear annihilation, U.S. President Dwight D. Eisenhower proposed a bold idea: harness the power of the atom for peace, not war. In his famous “Atoms for Peace” speech, Eisenhower proposed to prevent the spread of nuclear weapons by promoting peaceful applications of nuclear technology. This initiative laid the groundwork for the institutions, norms, and governance frameworks that continue to shape nuclear policy today. Seven decades later, the world faces a new transformative technology—advanced Artificial Intelligence (AI). While AI differs from nuclear technology in many ways, its governance poses similarly high stakes. Rapidly advancing AI capabilities could lead to catastrophic outcomes, for example via misuse by malicious actors, accelerating arms races and the erosion of human control. Yet, with adequate safeguards in place, advanced AI could drive unprecedented scientific advancements and economic prosperity. Recognizing this, analysts frequently draw on nuclear governance as a model for AI governance, with some proposals explicitly drawing on Eisenhower’s framework. In this two-part series, we take a closer look at "Atoms for Peace" in order to help readers better assess proposals for AI which invoke elements of this framework. Part 1 explores how Atoms for Peace shaped nuclear governance, detailing its logic, successes, and shortcomings. Part 2 identifies key challenges in adapting this framework to advanced AI and suggests a broader approach to AI nonproliferation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15271254
Primary Topic
IL-33, ST2, and ILC Pathways
Type
article
Field-Weighted Citation Impact
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article

Lessons for AI Governance from Atoms for Peace

Zenodo (CERN European Organization for Nuclear Research)
IL-33, ST2, and ILC Pathways
article

Lessons for AI Governance from Atoms for Peace

article en

Abstract

In 1953, amid Cold War tensions and the looming threat of nuclear annihilation, U.S. President Dwight D. Eisenhower proposed a bold idea: harness the power of the atom for peace, not war. In his famous “Atoms for Peace” speech, Eisenhower proposed to prevent the spread of nuclear weapons by promoting peaceful applications of nuclear technology. This initiative laid the groundwork for the institutions, norms, and governance frameworks that continue to shape nuclear policy today. Seven decades later, the world faces a new transformative technology—advanced Artificial Intelligence (AI). While AI differs from nuclear technology in many ways, its governance poses similarly high stakes. Rapidly advancing AI capabilities could lead to catastrophic outcomes, for example via misuse by malicious actors, accelerating arms races and the erosion of human control. Yet, with adequate safeguards in place, advanced AI could drive unprecedented scientific advancements and economic prosperity. Recognizing this, analysts frequently draw on nuclear governance as a model for AI governance, with some proposals explicitly drawing on Eisenhower’s framework. In this two-part series, we take a closer look at "Atoms for Peace" in order to help readers better assess proposals for AI which invoke elements of this framework. Part 1 explores how Atoms for Peace shaped nuclear governance, detailing its logic, successes, and shortcomings. Part 2 identifies key challenges in adapting this framework to advanced AI and suggests a broader approach to AI nonproliferation.

Zenodo (CERN European Organization for Nuclear Research)
Uppsala University (SE)
Openalex Percentile: Top 47%
IL-33, ST2, and ILC Pathways
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