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Governing others: Anomaly and the algorithmic subject of security

Published online by Cambridge University Press:  01 November 2017

Claudia Aradau*
Affiliation:
Professor, International Politics, King’s College London
Tobias Blanke
Affiliation:
Reader, Social and Cultural Informatics, King’s College London
*
*Correspondence to: Claudia Aradau, Professor of International Politics, Dept. of War Studies, King’s College London, Strand, London WC2R 2LS. Author’s email: claudia.aradau@kcl.ac.uk

Abstract

As digital technologies and algorithmic rationalities have increasingly reconfigured security practices, critical scholars have drawn attention to their performative effects on the temporality of law, notions of rights, and understandings of subjectivity. This article proposes to explore how the ‘other’ is made knowable in massive amounts of data and how the boundary between self and other is drawn algorithmically. It argues that algorithmic security practices and Big Data technologies have transformed self/other relations. Rather than the enemy or the risky abnormal, the ‘other’ is algorithmically produced as anomaly. Although anomaly has often been used interchangeably with abnormality and pathology, a brief genealogical reading of the concept shows that it works as a supplementary term, which reconfigures the dichotomies of normality/abnormality, friend/enemy, and identity/difference. By engaging with key practices of anomaly detection by intelligence and security agencies, the article analyses the materialisation of anomalies as specific spatial ‘dots’, temporal ‘spikes’, and topological ‘nodes’. We argue that anomaly is not simply indicative of more heterogeneous modes of othering in times of Big Data, but represents a mutation in the logics of security that challenge our extant analytical and critical vocabularies.

Type
Research Article
Copyright
© British International Studies Association 2017 

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109 Ibid., p. 6.

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