Using Artificial Intelligence for Nuclear Nonproliferation and Commercial Nuclear Applications

Jordan Fox, James Eagan, Ayodeji Alajo and Syed Alam ()
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Jordan Fox: University of Science and Technology
James Eagan: University of Science and Technology
Ayodeji Alajo: Missouri University of Science and Technology
Syed Alam: University of Science and Technology

A chapter in Handbook of Smart Energy Systems, 2023, pp 2119-2130 from Springer

Abstract: Abstract Artificial Intelligence continues to undergo rapid advancements in the modern age. This technology is becoming more commonplace in society, and it carries the potential for a significant impact on how people carry out their activities. As more applications of Artificial Intelligence are explored, it becomes pertinent to identify areas in which caution and reluctant adoption of this technology are necessary. Artificial Intelligence has existed alongside nuclear strategy and nonproliferation endeavors since the 1960s and as the technology develops it is inevitable that expansions or upgrades to existing systems will be proposed. This chapter attempt to address the feasibility of implementing an advanced system in current aspects of nuclear security, safeguard, and nonproliferation. The aspects under consideration are early-warning systems, autonomous defense systems, and integrated decision support for the adoption of Artificial Intelligence. This work focuses on military applications of Artificial Intelligence, but also discusses considerations of Artificial Intelligence in nonmilitary applications such as nuclear medicine and research.

Keywords: Artificial Intelligence; Nuclear nonproliferation; Commercial applications (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_148

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DOI: 10.1007/978-3-030-97940-9_148

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