Facial recognition technology in law enforcement: balancing security and the right to privacy
DOI:
https://doi.org/10.15175/dcmy3d24Keywords:
right to privacy, human rights, facial recognition technology, surveillance, proportionality principleAbstract
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.
Downloads
References
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.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Passages: International Review of Political History and Legal Culture

This work is licensed under a Creative Commons Attribution 4.0 International License.
A compromise transferring the copyright is requested, with the author’s signature, as the example below:
I / Us, ..................... , author(s) of the article/review: ................................, which
I/we have submitted to the appreciation of ‘Passagens: International Review of Political History and Legal Culture”, am/are aware of the publishing rules and
agree that the copyright related to it is transferred to the Publishing. I (we) take full responsibility for the content of this article; and is will contribute to the Editors to undertake the changes suggested by the evaluators and the review of bibliographic quotations.
__________________, ____/_____
Signature: ________________________________