‘Assisted’ facial recognition and the reinvention of suspicion and discretion in digital policing

Automated facial recognition (AFR) has emerged as one of the most controversial policing innovations of recent years. Drawing on empirical data collected during the United Kingdom’s two major police trials of AFR deployments—and building on insights from the sociology of policing, surveillance studi...

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Bibliographic Details
Authors: Fussey, Pete (Author) ; Davies, Bethan (Author) ; Innes, Martin (Author)
Format: Electronic Article
Language:English
Published: 2021
In: The British journal of criminology
Year: 2021, Volume: 61, Issue: 2, Pages: 325-344
Online Access: Presumably Free Access
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Keywords:
Facial recognition
digital policing
Suspicion
Discretion
Description
Summary:Automated facial recognition (AFR) has emerged as one of the most controversial policing innovations of recent years. Drawing on empirical data collected during the United Kingdom’s two major police trials of AFR deployments—and building on insights from the sociology of policing, surveillance studies and science and technology studies—this article advances several arguments. Tracing a lineage from early sociologies of policing that accented the importance of police discretion and suspicion formation, the analysis illuminates how technological capability is conditioned by police discretion, but police discretion itself is also contingent on affordances brought by the operational and technical environment. These, in turn, frame and ‘legitimate’ subjects of a reinvented and digitally mediated ‘bureaucratic suspicion’.
ISSN:1464-3529
DOI:10.1093/bjc/azaa068