Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI

Article

Phillips, Peter J. and Pohl, Gabriela. 2021. "Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI." RUSI Journal. 165 (7), pp. 22-32. https://doi.org/10.1080/03071847.2021.1893126
Article Title

Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI

ERA Journal ID211321
Article CategoryArticle
AuthorsPhillips, Peter J. (Author) and Pohl, Gabriela (Author)
Journal TitleRUSI Journal
Journal Citation165 (7), pp. 22-32
Number of Pages11
Year2021
Place of PublicationUnited Kingdom
ISSN0307-1847
1744-0378
Digital Object Identifier (DOI)https://doi.org/10.1080/03071847.2021.1893126
Web Address (URL)https://www.tandfonline.com/doi/full/10.1080/03071847.2021.1893126
Abstract

The use of artificial intelligence (AI) and algorithms by intelligence agencies requires the capability to counter their use by rival agencies. A formal-technical development of this capability can be assisted by decision theory, including behavioural economics. We argue that decision theory provides a useful framework that can be used to think about thinking. It is a catalogue of things that human decision-makers can consult when considering their own decision-making processes or those of adversaries and friends. Such a catalogue may be relevant during the development of AI and counter-AI capability in an intelligence setting.

KeywordsArtificial Intelligence, Algorithms, Decision Theory, Intelligence, Espionage, Behavioural Economics
ANZSRC Field of Research 2020380102. Behavioural economics
460299. Artificial intelligence not elsewhere classified
Byline AffiliationsUniversity of Southern Queensland
Institution of OriginUniversity of Southern Queensland
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