Algorithmic warfare and the reinvention of accuracy

Bibliographic Data

ID5682467
AuthorsL Suchman (0000-0001-9752-4684, Lancaster University, corresponding author)
Year2020
Volume8
Issue2
Pages175-187
Publication date2020-05-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCritical Studies on Security (JOURNAL)
Journal identifiersISSN: 2162-4887 • E-ISSN: 2162-4909
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21624887.2020.1760587
OpenAlexW3023598260
LanguageEN
Citations received63
References cited39

This article aims to integrate two interrelated strands in critical security studies. The first is mounting evidence for the fallacy of claims for precision and accuracy in the United States ‘counterterrorism’ programme, particularly as it involves expanding aerial surveillance in support of operations of extrajudicial assasination. The second line of critical analysis concerns growing investment in the further automation of these operations, more specifically in the form of the US Department of Defense Algorithmic Warfare Cross-Functional Team, or Project Maven. Building upon generative intersections of critical security studies and science and technology studies (STS), I argue that the promotion of automated data analysis under the sign of artificial intelligence can only serve to exacerbate military operations that are at once discriminatory and indiscriminate in their targeting, while remaining politically and legally unaccountable

Computer security · Cyberwarfare · Epistemology · Political science · Computer Science · Ethics and Social Impacts of AI · Neuroethics, Human Enhancement, Biomedical Innovations · Philosophy · Space Science and Extraterrestrial Life

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