Phillips, Peter J. ORCID: https://orcid.org/0000-0002-7094-5427 and Pohl, Gabriela
ORCID: https://orcid.org/0000-0003-3853-5492
(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) |
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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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