Abstract
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.

(Source: EFF, adapted)

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In this article, we use the sentence “(semi-)public” to represent the two types of spaces, one of public nature and other of a private nature. Where it is necessary to distinguish between them, we use the term sensu stricto to identify the former.
For an English version of the LGPD, refer to https://iapp.org/media/pdf/resource_center/Brazilian_General_Data_Protection_Law.pdf.
LGPD, Art 5, I.
Article 4. This Law does not apply to the processing of personal data:
III—Carried out for the sole purpose of:
(a) public security;
(b) national defence;
(c) State security;
§ 1 The processing of personal data provided for in Item III shall be governed by specific legislation, which shall provide for proportionate and strictly necessary measures to meet the public interest, observed due process, the general principles of protection and the rights of the data subject provided for in this Law.
Law 7.102/73, Art. 10. Activities carried out by way of provision of services shall be considered to be private security for the purpose of:
(I) the financial monitoring of financial institutions and other public or private establishments and the security of persons;
(II) carry out the transport of securities or ensure the carriage of any other type of cargo.
LGPD, Art. 5, VI—Controller: natural or legal person, whether governed by public or private law, to whom decisions relating to the processing of personal data are responsible; (free translation).
Article 11. Sensitive personal data may only be processed in the following cases: […]
(II) without the holder’s consent, in cases where it is indispensable for:
(a) compliance with legal or regulatory obligations by the controller;
(b) sharing of data necessary for the execution by the public administration of public policies provided for by laws or regulations;
(c) carrying out research by means of searching by means of ensuring, where possible, anonymisation of sensitive personal data;
(d) regular exercise of rights, including contract and judicial, administrative and arbitral proceedings, the latter pursuant to Law No 9.307 of 23 September 1996 (Arbitration Act);
(e) protection of the life or physical age of the holder or of a third party;
(f) health protection, which is carried out exclusively by healthcare professionals, health services or health authorities; or
(g) ensuring the prevention of fraud and the security of the holder, the procedures for identifying and authenticating records in electronic systems, retaining the rights referred to in Article 9 of this Law and except in the case of fundamental rights and freedoms of the data subject which require the protection of personal data. (free translation).
Further details of this Directive are mentioned in section IV.C.
A match occurs when the artificial intelligence system is compatible between an image captured by the camera and another image contained in a given data bank.
These safeguards were based on the case-law in the context of surveillance of the European Court of Justice and the European Court of Human Rights. See more in MORAES, T. G.S. Spark of Light in the Going Dark: Legal Safeguards for Law Enforcement’s Encryption Circumvention Measures. 2019. Master Thesis in the Law and Technology LLM Program, Tilburg (NL)—Jun/2019.
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Moraes, T.G., Almeida, E.C. & de Pereira, J.R.L. Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces. AI Ethics 1, 159–172 (2021). https://doi.org/10.1007/s43681-020-00014-3
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DOI: https://doi.org/10.1007/s43681-020-00014-3