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Artificial intelligence within the military domain and cyber warfare
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Hallaq, Bilal, Somer, Tiia, Osula, Anna-Maria, Ngo, Kim and Mitchener-Nissen, Timothy (2017) Artificial intelligence within the military domain and cyber warfare. In: 16th European Conference on Cyber Warfare and Security (ECCWS 2017), Dublin, Ireland, 29-30 June 2017. Published in: Proceedings of 16th European Conference on Cyber Warfare and Security ISBN 9781510845190.
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Abstract
The potential uses of machine learning and artificial intelligence in the cyber security domain have had a recent surge of interest. Much of the research and discussions in this area primarily focuses on reactive uses of the technology such as enhancing capabilities in incident response, aiding in the analysis of malware or helping to automate defensive positions across networks. In this paper, the authors present an overview of machine learning as an enabler to artificial intelligence and how such technology can be used within the military and cyber warfare domain. This represents a shift in focus from commercial, civilian machine learning applications that include; self-driving vehicles, speech/image/face recognition, fraud prevention, the optimisation of web searches, and so forth. While the underlying technological process remain, what is altered is the focus of application; i.e., applying machine learning to create Intelligent Virtual Assistants for the battlefield, automated scanning of satellite imagery to detect specific vehicle types, automating the selection of attack vectors and methods when conducting offensive cyber warfare, etc. machine learning solutions offer the potential to assist a Commander make decisions in real-time that are informed by the accumulated knowledge of hundreds of previous engagements and exercises that are assessed at computational speeds. With these potential use cases in mind, the authors highlight some of the legal and ethical issues that the application of weapons enhanced with artificial intelligence, machine learning and automated processes. As the authors highlight, however, there are conflict views over the ethics of weaponising these technologies. Critics question the compliance with International Humanitarian Law of automated weapon systems the exclude human judgment, charging them with threatening our fundamental right to life and the principle of human dignity. Conversely, others view this progress in weapon development as inevitable, whereby attempts to ban autonomous weapon systems would be both premature and insupportable.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
Library of Congress Subject Headings (LCSH): | Artificial intelligence, Machine learning, Cyberterrorism, Intelligent personal assistants (Computer software) | ||||
Journal or Publication Title: | Proceedings of 16th European Conference on Cyber Warfare and Security | ||||
Publisher: | Academic Conferences and Publishing International Limited | ||||
ISBN: | 9781510845190 | ||||
Official Date: | 11 September 2017 | ||||
Dates: |
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Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 8 November 2017 | ||||
Date of first compliant Open Access: | 9 November 2017 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 16th European Conference on Cyber Warfare and Security (ECCWS 2017) | ||||
Type of Event: | Conference | ||||
Location of Event: | Dublin, Ireland | ||||
Date(s) of Event: | 29-30 June 2017 | ||||
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