‘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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Bibliographische Detailangaben
1. VerfasserIn: Fussey, Pete (VerfasserIn)
Beteiligte: Davies, Bethan ; Innes, Martin
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2021
In: The British journal of criminology
Jahr: 2021, Band: 61, Heft: 2, Seiten: 325-344
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Schlagwörter:
Discretion
Facial recognition
Suspicion
digital policing
Beschreibung
Zusammenfassung: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