Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/27606
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dc.contributor.authorGikay, AA-
dc.date.accessioned2023-11-11T16:03:05Z-
dc.date.available2023-11-11T16:03:05Z-
dc.date.issued2023-12-11-
dc.identifierORCID iD: Asress Adimi Gikay https://orcid.org/0000-0002-0778-2821-
dc.identifier.citationGikay, A.A. (2023) 'Regulating Use by Law Enforcement Authorities of Real-Time Facial Recognition Technology in Public Spaces: An Incremental Approach', Cambridge Law Journal, 82 (3), pp. 414 - 449. doi: 10.1017/S0008197323000454.en_US
dc.identifier.issn0008-1973-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/27606-
dc.description.abstractAmid the growing calls for the complete prohibition of the use by law enforcement authorities of live facial recognition (LFR) technology in public spaces, this article advocates for an incremental approach to regulating the use of the technology. By analysing legislative instruments, judicial decisions, deployment practices of UK law enforcement authorities, various procedural and policy documents, as well as available safeguards, the article suggests incremental adjustments to the existing legal framework instead of sweeping regulatory change. The proposed approach calls for adopting national legal rules governing watch lists and introducing spatial, temporal and contextual limitations on the deployment of technology based on the assessment of proportionality and necessity. To enhance the effectiveness of overt surveillance using LFR, the article recommends adopting a transparency procedure that promotes accountability without undermining the objectives of law enforcement. Alternatively, the overt use of the technology should be limited to deterring the commission of crimes and safeguarding public safety, where transparency does not undermine its effectiveness. Limiting the scope of overt use of LFR technology entails that law enforcement agencies primarily utilise covert surveillance, with prior judicial approval, except in urgent cases, as this would improve effective criminal investigation and public safety. The legal adjustments proposed in this article can be implemented through flexible secondary legislation or local policies, rather than rigid statutory rules.en_US
dc.format.extent414 - 449-
dc.format.mediumPrint-Electronic-
dc.language.isoenen_US
dc.publisherCambridge University Press on behalf of The Faculty of Law, University of Cambridgeen_US
dc.rightsCopyright © The Author(s), 2023. Published by Cambridge University Press on behalf of The Faculty of Law, University of Cambridge. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectlive facial recognitionen_US
dc.subjectartificial intelligenceen_US
dc.subjectlaw enforcementen_US
dc.subjectsensitive processingen_US
dc.subjectprivacyen_US
dc.subjectovert surveillanceen_US
dc.subjectcovert surveillanceen_US
dc.titleRegulating Use by Law Enforcement Authorities of Real-Time Facial Recognition Technology in Public Spaces: An Incremental Approachen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1017/S0008197323000454-
dc.relation.isPartOfCambridge Law Journal-
pubs.issue3-
pubs.publication-statusPublished-
pubs.volume82-
dc.identifier.eissn1469-2139-
dc.rights.holderThe Author(s)-
Appears in Collections:Brunel Law School Research Papers

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