Facial Recognition AI Technology in Healthcare and the Law

Bibliographic Details
Main Author: Raposo, Vera Lúcia
Publication Date: 2024
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/177453
Summary: Facial recognition technology - an artificial intelligence technology that analyses facial biometric data for different purposes - is being increasingly adopted in a variety of domains, including in healthcare. Within healthcare delivery, facial recognition can be used to analyse feelings and emotions, track potential health risks, diagnose medical conditions and identify individuals. Despite its various benefits in healthcare, it also poses legal and ethical risks, such as the possibility of erroneous results, bias and discrimination, and the potential violation of the rights of people affected by this technology. In the European Union, this technology is within the remit of so many European regulations - the General Data Protection Regulation, the Medical Devices Regulation and the future Artificial Intelligence Regulation - that compliance may be challenging. Faced with this legal entanglement, healthcare stakeholders might simply refrain from investing in this technology.
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spelling Facial Recognition AI Technology in Healthcare and the LawFacial recognitionArtificial intelligenceHealthcareData protectionBiasComputer Science(all)Social Sciences(all)SDG 3 - Good Health and Well-beingFacial recognition technology - an artificial intelligence technology that analyses facial biometric data for different purposes - is being increasingly adopted in a variety of domains, including in healthcare. Within healthcare delivery, facial recognition can be used to analyse feelings and emotions, track potential health risks, diagnose medical conditions and identify individuals. Despite its various benefits in healthcare, it also poses legal and ethical risks, such as the possibility of erroneous results, bias and discrimination, and the potential violation of the rights of people affected by this technology. In the European Union, this technology is within the remit of so many European regulations - the General Data Protection Regulation, the Medical Devices Regulation and the future Artificial Intelligence Regulation - that compliance may be challenging. Faced with this legal entanglement, healthcare stakeholders might simply refrain from investing in this technology.Edward Elgar PublishingNOVA School of Law|Faculdade de Direito (NSL|FD)Centro de Investigação e Desenvolvimento sobre Direito e Sociedade (CEDIS)RUNRaposo, Vera Lúcia2025-01-14T21:28:42Z20242024-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersion16application/pdfhttp://hdl.handle.net/10362/177453eng9781802205640PURE: 95623567https://doi.org/10.4337/9781802205657.00009info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-20T01:38:27Zoai:run.unl.pt:10362/177453Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:40:28.441960Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Facial Recognition AI Technology in Healthcare and the Law
title Facial Recognition AI Technology in Healthcare and the Law
spellingShingle Facial Recognition AI Technology in Healthcare and the Law
Raposo, Vera Lúcia
Facial recognition
Artificial intelligence
Healthcare
Data protection
Bias
Computer Science(all)
Social Sciences(all)
SDG 3 - Good Health and Well-being
title_short Facial Recognition AI Technology in Healthcare and the Law
title_full Facial Recognition AI Technology in Healthcare and the Law
title_fullStr Facial Recognition AI Technology in Healthcare and the Law
title_full_unstemmed Facial Recognition AI Technology in Healthcare and the Law
title_sort Facial Recognition AI Technology in Healthcare and the Law
author Raposo, Vera Lúcia
author_facet Raposo, Vera Lúcia
author_role author
dc.contributor.none.fl_str_mv NOVA School of Law|Faculdade de Direito (NSL|FD)
Centro de Investigação e Desenvolvimento sobre Direito e Sociedade (CEDIS)
RUN
dc.contributor.author.fl_str_mv Raposo, Vera Lúcia
dc.subject.por.fl_str_mv Facial recognition
Artificial intelligence
Healthcare
Data protection
Bias
Computer Science(all)
Social Sciences(all)
SDG 3 - Good Health and Well-being
topic Facial recognition
Artificial intelligence
Healthcare
Data protection
Bias
Computer Science(all)
Social Sciences(all)
SDG 3 - Good Health and Well-being
description Facial recognition technology - an artificial intelligence technology that analyses facial biometric data for different purposes - is being increasingly adopted in a variety of domains, including in healthcare. Within healthcare delivery, facial recognition can be used to analyse feelings and emotions, track potential health risks, diagnose medical conditions and identify individuals. Despite its various benefits in healthcare, it also poses legal and ethical risks, such as the possibility of erroneous results, bias and discrimination, and the potential violation of the rights of people affected by this technology. In the European Union, this technology is within the remit of so many European regulations - the General Data Protection Regulation, the Medical Devices Regulation and the future Artificial Intelligence Regulation - that compliance may be challenging. Faced with this legal entanglement, healthcare stakeholders might simply refrain from investing in this technology.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
2025-01-14T21:28:42Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/177453
url http://hdl.handle.net/10362/177453
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9781802205640
PURE: 95623567
https://doi.org/10.4337/9781802205657.00009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 16
application/pdf
dc.publisher.none.fl_str_mv Edward Elgar Publishing
publisher.none.fl_str_mv Edward Elgar Publishing
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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