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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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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. |
format | Online Article Text |
id | pubmed-7547552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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