Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33644
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dc.contributor.authorUrquhart, Lachlanen_UK
dc.contributor.authorMiranda, Dianaen_UK
dc.date.accessioned2021-11-25T01:01:36Z-
dc.date.available2021-11-25T01:01:36Z-
dc.date.issued2022en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33644-
dc.description.abstractIn this paper, we discuss the present and future uses of intelligent facial surveillance (IFS) in law enforcement. We present an empirical and legally focused case study of live automated facial recognition technologies (LFR) in British policing. In Part I, we analyse insights from 26 frontline police officers exploring their concerns and current scepticism about LFR. We analyse recent UK case law on LFR use by police which raises concerns around human rights, data protection and anti-discrimination laws. In Part II, we consider frontline officers’ optimism around future uses of LFR and explore emerging forms of IFS, namely emotional AI (EAI) technologies. A key novelty of the paper is our analysis on how the proposed EU AI Regulation (AIR) will shape future uses of IFS in policing. AIR makes LFR a prohibited form of AI and EAI use by law enforcement will be regulated as high-risk AI that has to comply with new rules and design requirements. Part III presents a series of 10 practical lessons, drawn from our reflections on the legal and empirical perspectives. These aim to inform any future law enforcement use of IFS in the UK and beyond.en_UK
dc.language.isoenen_UK
dc.publisherRoutledgeen_UK
dc.relationUrquhart L & Miranda D (2022) Policing faces: the present and future of intelligent facial surveillance. Information and Communications Technology Law, 31 (2), pp. 194-219. https://doi.org/10.1080/13600834.2021.1994220en_UK
dc.rights© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectFacial recognitionen_UK
dc.subjectEmotional AIen_UK
dc.subjectpolicingen_UK
dc.subjectsurveillanceen_UK
dc.subjectlawen_UK
dc.titlePolicing faces: the present and future of intelligent facial surveillanceen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1080/13600834.2021.1994220en_UK
dc.citation.jtitleInformation and Communications Technology Lawen_UK
dc.citation.issn1469-8404en_UK
dc.citation.issn1360-0834en_UK
dc.citation.volume31en_UK
dc.citation.issue2en_UK
dc.citation.spage194en_UK
dc.citation.epage219en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.contributor.funderESRC Economic and Social Research Councilen_UK
dc.citation.date28/10/2021en_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationSociology, Social Policy & Criminologyen_UK
dc.identifier.isiWOS:000712210200001en_UK
dc.identifier.scopusid2-s2.0-85118347637en_UK
dc.identifier.wtid1775271en_UK
dc.contributor.orcid0000-0002-8605-5031en_UK
dc.date.accepted2021-10-28en_UK
dcterms.dateAccepted2021-10-28en_UK
dc.date.filedepositdate2021-11-24en_UK
dc.relation.funderprojectEmotional AI in Cities: Cross Cultural Lessons from UK and Japan on Designing for An Ethical Lifeen_UK
dc.relation.funderrefES/T00696X/1en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorUrquhart, Lachlan|en_UK
local.rioxx.authorMiranda, Diana|0000-0002-8605-5031en_UK
local.rioxx.projectES/T00696X/1|Economic and Social Research Council|http://dx.doi.org/10.13039/501100000269en_UK
local.rioxx.freetoreaddate2021-11-24en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2021-11-24|en_UK
local.rioxx.filenameUrquhart-Miranda-ICTL-2022.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1469-8404en_UK
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