Facial Recognition Technology in Policing and Security—Case Studies in Regulation

Nessa Lynch ()
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Nessa Lynch: School of Law, University College Cork, T12 K8AF Cork, Ireland

Laws, 2024, vol. 13, issue 3, 1-14

Abstract: Technology-enabled state surveillance has evolved rapidly to allow real-time remote tracking and surveillance of people and vehicles and the aggregation of vast amounts of data on people and their movements, networks, and relationships. Facial recognition technology (FRT) comprises a suite of technologies that allows verification, identification, and categorisation by analysing a person’s facial image. Such technologies impact fundamental rights, such as privacy, freedom of expression, and freedom of assembly, but can also be used to detect, investigate, and deter serious crime and harm and to counter threats to security, thus promoting collective interests in security and public safety. These impacts have been considered in terms of scholarship and advocacy, but the shape of principled regulation is less well traversed. This contribution examines three contemporary case studies of the regulation of FRT in policing and security to analyse the challenges in regulating this technology.

Keywords: biometrics; emerging technology; policing; artificial intelligence (search for similar items in EconPapers)
JEL-codes: D78 E61 E62 F13 F42 F68 K0 K1 K2 K3 K4 (search for similar items in EconPapers)
Date: 2024
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