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

Phillips, Peter J. and Pohl, Gabriela (2021) Countering Intelligence Algorithms: Decision Theory, Design Choices and Counter-AI. The RUSI Journal, 165 (7). pp. 22-32. ISSN 0307-1847


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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Business (18 Jan 2021 -)
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Humanities and Communication (1 Mar 2019 -)
Date Deposited: 15 Mar 2021 00:51
Last Modified: 22 Sep 2021 01:29
Uncontrolled Keywords: Artificial Intelligence, Algorithms, Decision Theory, Intelligence, Espionage, Behavioural Economics
Fields of Research (2008): 08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
14 Economics > 1401 Economic Theory > 140104 Microeconomic Theory
Fields of Research (2020): 38 ECONOMICS > 3801 Applied economics > 380102 Behavioural economics
46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified
Socio-Economic Objectives (2008): A Defence > 81 Defence > 8101 Defence > 810105 Intelligence
Socio-Economic Objectives (2020): 14 DEFENCE > 1401 Defence > 140105 Intelligence, surveillance and space
Identification Number or DOI: https://doi.org/10.1080/03071847.2021.1893126
URI: http://eprints.usq.edu.au/id/eprint/41557

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