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Live Facial Recognition: Trust and Legitimacy as Predictors of Public Support for Police Use of New Technology
The British Journal of Criminology ( IF 2.4 ) Pub Date : 2020-05-23 , DOI: 10.1093/bjc/azaa032
Ben Bradford 1 , Julia A Yesberg 1 , Jonathan Jackson 2, 3 , Paul Dawson 4
Affiliation  

Abstract Facial recognition technology is just one of a suite of new digital tools police and other security providers around the world are adopting in an effort to function more safely and efficiently. This paper reports results from a major new London-based study exploring public responses to Live Facial Recognition (LFR): a technology that enables police to carry out real-time automated identity checks in public spaces. We find that public trust and legitimacy are important factors predicting the acceptance or rejection of LFR. Crucially, trust and, particularly, legitimacy seem to serve to alleviate privacy concerns about police use of this technology. In an era where police use of new technologies is only likely to increase, especially as the Covid-19 global pandemic develops, these findings have important implications for police–public relations and how the ‘public voice’ is fed into debates.

中文翻译:

实时面部识别:信任和合法性是警察使用新技术的公共支持的预测因素

摘要面部识别技术只是警察和世界各地其他安全提供者正在采用的一组新的数字工具中的一种,以更加安全有效地工作。本文报告的是一项基于伦敦的大型新研究的结果,该研究探索了公众对实时面部识别(LFR)的反应:这项技术使警察能够在公共场所执行实时自动身份检查。我们发现,公众的信任和合法性是预测LFR接受或拒绝的重要因素。至关重要的是,信任,尤其是合法性似乎可以减轻人们对警察使用此技术的隐私担忧。在这个时代,警察对新技术的使用只会增加,特别是随着Covid-19全球大流行的发展,
更新日期:2020-05-23
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