Johnson, James ORCID: 0000-0002-5203-8583 (2020) Artificial intelligence in nuclear warfare: a perfect storm of instability? The Washington Quarterly, 43 (2). pp. 197-211. ISSN 0163-660X
Abstract
A significant gap exists between the expectations and fears of public opinion, policymakers, and global defense communities about artificial intelligence (AI) and its actual military capabilities, particularly in the nuclear sphere. The misconceptions that exist today are largely caused by the hyperbolic depictions of AI in popular culture and science fiction, most prominently the Skynet system in The Terminator. Misrepresentations of the potential opportunities and risks in the military sphere (or “military AI”) can obscure constructive and crucial debate on these topics—specifically, the challenge of balancing the potential operational, tactical, and strategic benefits of leveraging AI, while managing the risks posed to stability and nuclear security. This article demystifies the hype surrounding AI in the context of nuclear weapons and, more broadly, future warfare. Specifically, it highlights the potential, multifaceted intersections of this disruptive technology with nuclear stability. The inherently destabilizing effects of military AI may exacerbate tension between nuclear-armed great powers, especially China and the United States, but not for the reasons you may think.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Subjects: | Computer Science > Artificial intelligence Computer Science > Machine learning Social Sciences > International relations Social Sciences > Political science |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Law and Government |
Publisher: | Massachusetts Institute of Technology Press |
Official URL: | http://dx.doi.org/10.1080/0163660X.2020.1770968 |
Copyright Information: | © 2020 Massachusetts Institute of Technology Press |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 25512 |
Deposited On: | 19 Feb 2021 15:15 by James Johnson . Last Modified 16 Dec 2021 04:30 |
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