Facial recognition technology in law enforcement: balancing security and the right to privacy

Autores

DOI:

https://doi.org/10.15175/dcmy3d24

Palavras-chave:

right to privacy, human rights, facial recognition technology, surveillance, proportionality principle

Resumo

Facial Recognition Technology has rapidly emerged as a powerful tool in modern law enforcement, enabling efficient identification, surveillance, and crime prevention. However, its widespread deployment raises significant concerns regarding the protection of the right to privacy and other fundamental human rights. This paper examines the tension between state interests in ensuring public safety and the individual’s right to informational self-determination. It critically analyzes the legal and constitutional framework governing surveillance, with particular reference to the recognition of privacy as a fundamental right in Justice K.S. Puttaswamy v. Union of India. The study further explores issues of proportionality, necessity, and accountability in the use of FRT, highlighting risks such as mass surveillance, data misuse, and algorithmic bias. It argues for a robust regulatory framework that ensures transparency, safeguards civil liberties, and harmonizes technological advancement with human rights principles.

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Biografia do Autor

  • Hifajatali SAYYED, Maharashtra National Law University, Chhatrapati Sambhajinagar, India

    Dr. Hifajatali Sayyed is currently working as Assistant Professor at Maharashtra National Law
    University, Chhatrapati Sambhajinagar. He is the In-charge of Alumni Association of MNLU-
    CS. He is also the Co-Convener of Centre for Criminal Justice Delivery System of MNLU-CS.
    His areas of interests are criminal law, criminology, penology etc.

Referências

GATES, Kelly A. Our biometric future: facial recognition technology and the culture of surveillance. New York: NYU Press, 2011. https://www.jstor.org/stable/j.ctt9qg8xd

JENSEN, Benjamin M.; WHYTE, Christopher; CUOMO, Scott. Algorithms at war: the promise, peril, and limits of artificial intelligence. International Studies Review, v. 22, n. 3, p. 526-550, 2020. https://www.jstor.org/stable/48590664. Accessed on: 21 Mar. 2026.

PAIK, Sejin et al. Who benefits from AI? Examining different demographics' fairness perceptions across personal, work, and public life. Discov Artif Intell, v. 5, art. 39, 2025. https://doi.org/10.1007/s44163-025-00235-7

REEDY, Paul. Interpol review of digital evidence for 2019-2022. Forensic Sci Int Synerg., v. 6, 100313, 2023. https://doi.org/10.1016/j.fsisyn.2022.100313

LEVINE, Kate. Police Suspects. Columbia Law Review, v. 116, n. 5, p. 1197-1258, 2016. http://www.jstor.org/stable/43783403. Accessed on: 12 Apr. 2026.

JONES, Colin Clemente. Systematizing discrimination: AI vendors & Title VII enforcement. University of Pennsylvania Law Review, v. 171, n. 1, p. 235-266, 2022. http://www.jstor.org/stable/45476496. Accessed on: 28 Apr. 2026.

LUIZ, Stephany Holanda-Filho, PIRES, João Pedro Prado Benevides; LISBOA, Rafaela Ponte. Similarities and singularities of the data protection laws of the south American countries. Computer Law & Security Review, v 61, 106308, 2026. https://doi.org/10.1016/j.clsr.2026.106308.

JAWAHITHA, Sarabdeen. Protection of the rights of the individual when using facial recognition technology. Heliyon, v. 8, n. 3, e09086, 2022. https://doi.org/10.1016/j.heliyon.2022.e09086.

MONIKA Simmler, GIULIA Canova. Facial recognition technology in law enforcement: regulating data analysis of another kind. Computer Law & Security Review, v. 56, 106092, 2025. https://doi.org/10.1016/j.clsr.2024.106092.

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Publicado

2026-10-26

Como Citar

Facial recognition technology in law enforcement: balancing security and the right to privacy. (2026). Passagens: Revista Internacional De História Política E Cultura Jurídica, 18(3), 471-482. https://doi.org/10.15175/dcmy3d24