The Cambridge Handbook of Facial Recognition in the Modern State

doi:10.1017/9781009321211

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Lynch, Nessa 2024. Facial Recognition Technology in Policing and Security—Case Studies in Regulation. Laws, Vol. 13, Issue. 3, p. 35.

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Edited by Rita Matulionyte, Macquarie University, Sydney, Monika Zalnieriute, University of New South Wales, Sydney

Publisher:: Cambridge University Press
Online publication date:: March 2024
Print publication year:: 2024
Online ISBN:: 9781009321211
DOI:: https://doi.org/10.1017/9781009321211
Creative Commons:: This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/creativelicenses

Series:: Cambridge Law Handbooks
Subjects:: Law: General Interest, Computer Science, Computing and Society, Law, Law and technology, science, communication
Collection:: Cambridge Law Handbooks

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In situations ranging from border control to policing and welfare, governments are using automated facial recognition technology (FRT) to collect taxes, prevent crime, police cities and control immigration. FRT involves the processing of a person's facial image, usually for identification, categorisation or counting. This ambitious handbook brings together a diverse group of legal, computer, communications, and social and political science scholars to shed light on how FRT has been developed, used by public authorities, and regulated in different jurisdictions across five continents. Informed by their experiences working on FRT across the globe, chapter authors analyse the increasing deployment of FRT in public and private life. The collection argues for the passage of new laws, rules, frameworks, and approaches to prevent harms of FRT in the modern state and advances the debate on scrutiny of power and accountability of public authorities which use FRT. This book is also available as Open Access on Cambridge Core.

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