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‘Assisted’ facial recognition and the reinvention of suspicion and discretion in digital policing
The British Journal of Criminology ( IF 3.288 ) Pub Date : 2020-10-13 , DOI: 10.1093/bjc/azaa068
Pete Fussey 1 , Bethan Davies 2 , Martin Innes 2
Affiliation  

Abstract
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’.


中文翻译:

“辅助”面部识别以及数字警务中的怀疑和自由裁量权的重塑

摘要
自动面部识别(AFR)已成为近年来最有争议的警务创新之一。本文利用英国在两次针对AFR部署的主要警察审判中收集的经验数据,并基于治安,监视研究和科学技术研究的社会学见解,提出了一些论点。该分析从早期的警务社会学中追溯了一个派系,该派系强调了警察自由裁量权和可疑形成的重要性,该分析阐明了技术能力如何由警察自由裁量权来调节,但是警察自由裁量权本身也取决于运营和技术环境带来的负担能力。这些反过来又构成和“重新合法化”并重新构筑了数字化“官僚怀疑”主题。
更新日期:2020-10-13
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