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Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces

This article analyses the use of facial recognition technology (FRT) in (semi-)public spaces with a focus in the Brazilian context. Therefore, the operation of the FRT processing chain is addressed, as well as the juridical nature of the facial signature, focusing mainly in the Brazilian data protec...

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Detalles Bibliográficos
Autores principales: Moraes, Thiago Guimarães, Almeida, Eduarda Costa, de Pereira, José Renato Laranjeira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547552/
http://dx.doi.org/10.1007/s43681-020-00014-3
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author Moraes, Thiago Guimarães
Almeida, Eduarda Costa
de Pereira, José Renato Laranjeira
author_facet Moraes, Thiago Guimarães
Almeida, Eduarda Costa
de Pereira, José Renato Laranjeira
author_sort Moraes, Thiago Guimarães
collection PubMed
description This article analyses the use of facial recognition technology (FRT) in (semi-)public spaces with a focus in the Brazilian context. Therefore, the operation of the FRT processing chain is addressed, as well as the juridical nature of the facial signature, focusing mainly in the Brazilian data protection framework. FRT has been used in everyday life for several purposes, such as security, digital ranking, targeted marketing and health protection. However, the indiscriminate use of FRT poses high risks to privacy and data protection. In this perspective, to avoid harms such as inaccuracy, normalisation of cyber-surveillance and lack of transparency, safeguards were identified to guarantee individual rights, such as soft law, oversight, international standards and regulatory sandboxes.
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spelling pubmed-75475522020-10-14 Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces Moraes, Thiago Guimarães Almeida, Eduarda Costa de Pereira, José Renato Laranjeira AI Ethics Original Research This article analyses the use of facial recognition technology (FRT) in (semi-)public spaces with a focus in the Brazilian context. Therefore, the operation of the FRT processing chain is addressed, as well as the juridical nature of the facial signature, focusing mainly in the Brazilian data protection framework. FRT has been used in everyday life for several purposes, such as security, digital ranking, targeted marketing and health protection. However, the indiscriminate use of FRT poses high risks to privacy and data protection. In this perspective, to avoid harms such as inaccuracy, normalisation of cyber-surveillance and lack of transparency, safeguards were identified to guarantee individual rights, such as soft law, oversight, international standards and regulatory sandboxes. Springer International Publishing 2020-10-10 2021 /pmc/articles/PMC7547552/ http://dx.doi.org/10.1007/s43681-020-00014-3 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research
Moraes, Thiago Guimarães
Almeida, Eduarda Costa
de Pereira, José Renato Laranjeira
Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces
title Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces
title_full Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces
title_fullStr Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces
title_full_unstemmed Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces
title_short Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces
title_sort smile, you are being identified! risks and measures for the use of facial recognition in (semi-)public spaces
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547552/
http://dx.doi.org/10.1007/s43681-020-00014-3
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