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BIG BROTHER ON DUTY: HUMAN RIGHTS CONCERNS ON BIOMETRIC FACIAL RECOGNITION FOR CRIME PREVENTION

Yıl 2026, Sayı: 31, 27 - 46, 22.01.2026

Öz

Smart technologies, which permeate every aspect of our daily lives today, not only detect criminals but also prevent them. Since the innovation of artificial intelligence (AI) and biometric technologies, there has been a significant increase in the recording and storage of personal data, particularly in terms of data protection. The use of the aforementioned technologies by law enforcement and other judicial authorities raises issues of interference with individuals’ right to respect for private life under the European Convention on Human Rights. In the literature, this use has been studied in relation to the right to respect for private life, the right to the protection of personal data, the regime of interference, the criminal consequences of unlawful use, and the issue of compensation for the violation. However, the effects of the use of biometric-based facial recognition systems for the purpose of crime prevention on human rights have not been subject to theoretical and critical evaluation. This study raises a critical question as to whether these systems will lead to a future like the dystopia described in Orwell’s 1984, and aims to examine if the states’ processing of biometric data, primarily through facial recognition technologies (FRTs), is leading us towards a dystopia or a utopia where crimes are minimized. The study delves into both the shortcomings and efficiency of facial recognition systems by pointing out the related case law of the European Court of Human Rights (ECtHR).

Etik Beyan

There is no requirement of Ethics Committee Approval for this study.

Kaynakça

  • Atkinson RD, ‘Facial-Recognition Technology: Closer to Utopia Than Dystopia’ (2019) <https://www.nationalreview.com/2019/11/facial-recognition-technology-closer-to-utopia-than-dystopia/> accessed 12 January 2025.
  • BBC News, ‘Could Facial Recognition Cut Crime?’ (2019) <https://www.bbc.co.uk/news/av/technology-48228677> accessed 12 January 2025.
  • Carter, AM, ‘Facing Reality: The Benefits and Challenges of Facial Recognition’ Master Thesis, (California, 2018) <https://apps.dtic.mil/sti/trecms/pdf/AD1065272.pdf> accessed 10 February 2025.
  • Erbas R, ‘DNA Databases For Criminal Justice System: A Pathway Towards Utopian or Dystopian Future?’ (2022) (18) The Age of Human Rights Journal, 331-343.
  • Feldstein S, ‘The Global Expansion of AI Surveillance’ (2019) Carnegie Endowment For International Peace <https://carnegieendowment.org/research/2019/09/the-global-expansion-of-ai-surveillance?lang=en> accessed 21 December 2024.
  • Gabrielli G, ‘The Use of Facial Recognition Technologies in the Context of Peaceful Protest: The Risk of Mass Surveillance Practices and the Implications for the Protection of Human Rights’ (2025) (16) European Journal of Risk Regulation 514-541.
  • Garvie C, ‘Garbage In Garbage Out: Face Recognition on Flawed Data’ (2019) <https://www.flawedfacedata.com/> accessed 18 January 2025.
  • Goldstein J and Watkins A, ‘She Was Arrested at 14 Then Her Photo Went to a Facial Recognition Database’ (2019) <https://www.nytimes.com/2019/08/01/nyregion/nypd-facial-recognition-children-teenagers.html.> accessed 15 January 2025.
  • Iloanusi O, and Osuagwu C, ‘Biometric Recognition: Overview and Applications’ (2008) 27 (2) Nigerian Journal of Technology, 36-45.
  • Interpol, ‘Facial Recognition’ (2020) <https://www.interpol.int/How-we-work/Forensics/Facial-Recognition.> accessed 20 January 2025.
  • Jain AK, Ross A, and Prabhakar S, ‘An Introduction to Biometric Recognition’ (2004) 14 (1) IEEE Transactions on Circuits and Systems for Video Technology 4-20.
  • Kaufmann M and Vestad M, ‘Biology and Criminology: Data Practices and the Creation of Anatomic and Genomic Body ‘Types’ (2023) 31 (4) Critical Criminology 1217-1232.
  • Kelly R, ‘Facial Recognition Technology: Dystopia or Hysteria?’ (2019) <https://digit.fyi/facial-recognition-technology-dystopia-or-hysteria/> accessed 17 January 2025.
  • Koops BJ, ‘The Concept of Function Creep’ (2021) 13 (1) Law, Innovation and Technology 29-56.
  • La Vigne NG, Lowry S, Dwyer AM, and Markman JA, Using Public Surveillance Systems for Crime Control and Prevention (Washington DC, The Urban Institute, 2011).
  • Li P and Cadell C, ‘China Eyes ‘Black Tech’ To Boost Security As Parliament Meets’ (Reuters, 2018) <https://www.reuters.com/article/technology/china-eyes-black-tech-to-boost-security-as-parliament-meets-idUSKBN1GM06M/> accessed 15 December 2024.
  • Marciano A, ‘Reframing biometric surveillance: from a means of inspection to a form of control’ (2019) (21) Ethics and Information Technology 127-136.
  • Mayorga GA, Do X and Heydari V, ‘Using Smart Glasses for Facial Recognition’ 15 (4) (2019) American Journal of Undergraduate Research 23-35.
  • Mozur P, ‘One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority’ (New York Times, 2019) <https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html> accessed 17 January 2025.
  • Oliver CN and Kumar S, ‘Biometric Technology Towards Prevention of Medical Identity Theft: Physicians’ Perceptions’ (2016) 5 (1) Health Informatics- An International Journal 11-22.
  • Orwell G, 1984 (Arcturus Publishing, 2013).
  • Pocs M, ‘Legally compatible design of future biometric systems for crime prevention’ (2013) 26 (1-2) Innovation: The European Journal of Social Science Research 36-56.
  • Robles P, Mallinson DJ, Best E, Devaney C, and Azevedo L, ‘Global Perspectives on Regulating Facial Recognition Technology Utilization for Criminal Justice Arrests’ 5 (2025) Global Public Policy and Governance 186-204.
  • Schweizer H, ‘Smart glasses: technology and applications’ (2014) <https://vs.inf.ethz.ch/edu/FS2014/UCS/reports/HermannSchweizer_SmartGlassesTechnologyApplications_report.pdf> accessed 16 February 2025.
  • Selwyn N, Andrejevic M, O’Neill C, Gu X, and Smith G, ‘Facial Recognition Technology Key Issues and Emerging Concerns’ in Rita Matulionyte and Monika Zalnieriute (eds) The Cambridge Handbook of Facial Recognition In The Modern State (Cambridge University Press, 2024) 11-29.
  • Shah N, Bhagat N and Shah M, ‘Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention’ (2021) 4 (9) Visual Computing for Industry, Biomedicine, and Art 1-14.
  • Smith M and Mann M, ‘Facial Recognition Technology and Potential for Bias and Discrimination’ in Rita Matulionyte and Monika Zalnieriute (eds) The Cambridge Handbook of Facial Recognition In The Modern State, (Cambridge University Press, 2024).
  • Springwise, ‘Chinese Police Adopt Smart Glass Technology’ (2018) <https://www.springwise.com/chinese-police-adopt-smart-glass-technology/#:~:text=Using%20facial%20recognition%20technology%2C%20these,technology%20to%20assist%20police%20work> accessed 15 December 2024.
  • Thales Group, ‘Facial Recognition: Top 7 Trends (Tech, Vendors, Markets, Use Cases and Latest News)’ (2018) <https://www.thalesgroup.com/en/markets/digital-identity-and-security/government/biometrics/facial-recognition> accessed 20 January 2025.
  • The Guardian, ‘Human rights group urges New York to ban police use of facial recognition’ (2021) <https://www.theguardian.com/technology/2021/jan/25/new-york-facial-recognition-technology-police.> accessed 12 January 2025.
  • Yuksel S, ‘New Technologies through a Human Rights Lens: Reflecting on Personal Autonomy and Non-Discrimination’ (2022) 10 (2) Journal of Penal Law and Criminology 281-305.
  • Zalnieriute M, ‘Facial recognition technologies---freedom of expression--right to private life--surveillance--protest--biometric data--data privacy European Convention on Human Rights’ (2023) 117 (4) American Journal of International Law 695-701.

Büyük Birader İş Başında: Suç Önleme Amaçlı Biyometrik Yüz Tanımaya İlişkin İnsan Hakları Sorunları

Yıl 2026, Sayı: 31, 27 - 46, 22.01.2026

Öz

Günlük hayatın her alanına nüfuz eden akıllı teknolojiler, günümüzde yalnızca suçluları tespit etmekle kalmayıp aynı zamanda önlemeye matuf olarak kullanılmaktadır. Yapay zekâ ve biyometrik teknolojilerin gelişmesiyle de özellikle veri koruma alanında kişisel verilerin kaydedilmesi ve saklanmasında önemli bir artış olmuştur. Mezkûr teknolojilerin kolluk ve diğer adli makamlar tarafından kullanımı, bireylerin Avrupa İnsan Hakları Sözleşmesi’nin özel hayata saygı hakkı kapsamında müdahaleleri gündeme getirmektedir. Nitekim literatürde bu kullanım özel hayata saygı hakkı ve daha özelde kişisel verilerin korunması hakkı bağlamında müdahale rejimi itibarıyla incelendiği gibi hukuka aykırı kullanımların suç tipi olarak karşılıkları veya ihlalin giderimine ilişkin tazminat meselesi ele alınmıştır. Fakat özellikle biyometrik tabanlı yüz tanıma sistemlerinin suçların önlemesi amaçlı olarak kullanımının insan hakları üzerindeki etkileri kuramsal ve kritik bir değerlendirmeye tabi tutulmuş değildir. Bu çalışma ise bu sistemlerin Orwell’ın 1984 distopyasındaki gibi bir geleceğe yol açıp açmadığına dair kritik bir soruyu gündeme getirmekte ve devletlerin başta yüz tanıma teknolojileri olmak üzere biyometrik verileri işlemesinin toplumu bir distopyaya mı yoksa suçların en aza indirildiği bir ütopyaya mı götürdüğünü incelemeyi amaçlamaktadır. Çalışma, Avrupa İnsan Hakları Mahkemesi’nin ilgili içtihadına işaret ederek yüz tanıma sistemlerinin hem eksikliklerini hem de etkililiğini ele almaktadır.

Kaynakça

  • Atkinson RD, ‘Facial-Recognition Technology: Closer to Utopia Than Dystopia’ (2019) <https://www.nationalreview.com/2019/11/facial-recognition-technology-closer-to-utopia-than-dystopia/> accessed 12 January 2025.
  • BBC News, ‘Could Facial Recognition Cut Crime?’ (2019) <https://www.bbc.co.uk/news/av/technology-48228677> accessed 12 January 2025.
  • Carter, AM, ‘Facing Reality: The Benefits and Challenges of Facial Recognition’ Master Thesis, (California, 2018) <https://apps.dtic.mil/sti/trecms/pdf/AD1065272.pdf> accessed 10 February 2025.
  • Erbas R, ‘DNA Databases For Criminal Justice System: A Pathway Towards Utopian or Dystopian Future?’ (2022) (18) The Age of Human Rights Journal, 331-343.
  • Feldstein S, ‘The Global Expansion of AI Surveillance’ (2019) Carnegie Endowment For International Peace <https://carnegieendowment.org/research/2019/09/the-global-expansion-of-ai-surveillance?lang=en> accessed 21 December 2024.
  • Gabrielli G, ‘The Use of Facial Recognition Technologies in the Context of Peaceful Protest: The Risk of Mass Surveillance Practices and the Implications for the Protection of Human Rights’ (2025) (16) European Journal of Risk Regulation 514-541.
  • Garvie C, ‘Garbage In Garbage Out: Face Recognition on Flawed Data’ (2019) <https://www.flawedfacedata.com/> accessed 18 January 2025.
  • Goldstein J and Watkins A, ‘She Was Arrested at 14 Then Her Photo Went to a Facial Recognition Database’ (2019) <https://www.nytimes.com/2019/08/01/nyregion/nypd-facial-recognition-children-teenagers.html.> accessed 15 January 2025.
  • Iloanusi O, and Osuagwu C, ‘Biometric Recognition: Overview and Applications’ (2008) 27 (2) Nigerian Journal of Technology, 36-45.
  • Interpol, ‘Facial Recognition’ (2020) <https://www.interpol.int/How-we-work/Forensics/Facial-Recognition.> accessed 20 January 2025.
  • Jain AK, Ross A, and Prabhakar S, ‘An Introduction to Biometric Recognition’ (2004) 14 (1) IEEE Transactions on Circuits and Systems for Video Technology 4-20.
  • Kaufmann M and Vestad M, ‘Biology and Criminology: Data Practices and the Creation of Anatomic and Genomic Body ‘Types’ (2023) 31 (4) Critical Criminology 1217-1232.
  • Kelly R, ‘Facial Recognition Technology: Dystopia or Hysteria?’ (2019) <https://digit.fyi/facial-recognition-technology-dystopia-or-hysteria/> accessed 17 January 2025.
  • Koops BJ, ‘The Concept of Function Creep’ (2021) 13 (1) Law, Innovation and Technology 29-56.
  • La Vigne NG, Lowry S, Dwyer AM, and Markman JA, Using Public Surveillance Systems for Crime Control and Prevention (Washington DC, The Urban Institute, 2011).
  • Li P and Cadell C, ‘China Eyes ‘Black Tech’ To Boost Security As Parliament Meets’ (Reuters, 2018) <https://www.reuters.com/article/technology/china-eyes-black-tech-to-boost-security-as-parliament-meets-idUSKBN1GM06M/> accessed 15 December 2024.
  • Marciano A, ‘Reframing biometric surveillance: from a means of inspection to a form of control’ (2019) (21) Ethics and Information Technology 127-136.
  • Mayorga GA, Do X and Heydari V, ‘Using Smart Glasses for Facial Recognition’ 15 (4) (2019) American Journal of Undergraduate Research 23-35.
  • Mozur P, ‘One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority’ (New York Times, 2019) <https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html> accessed 17 January 2025.
  • Oliver CN and Kumar S, ‘Biometric Technology Towards Prevention of Medical Identity Theft: Physicians’ Perceptions’ (2016) 5 (1) Health Informatics- An International Journal 11-22.
  • Orwell G, 1984 (Arcturus Publishing, 2013).
  • Pocs M, ‘Legally compatible design of future biometric systems for crime prevention’ (2013) 26 (1-2) Innovation: The European Journal of Social Science Research 36-56.
  • Robles P, Mallinson DJ, Best E, Devaney C, and Azevedo L, ‘Global Perspectives on Regulating Facial Recognition Technology Utilization for Criminal Justice Arrests’ 5 (2025) Global Public Policy and Governance 186-204.
  • Schweizer H, ‘Smart glasses: technology and applications’ (2014) <https://vs.inf.ethz.ch/edu/FS2014/UCS/reports/HermannSchweizer_SmartGlassesTechnologyApplications_report.pdf> accessed 16 February 2025.
  • Selwyn N, Andrejevic M, O’Neill C, Gu X, and Smith G, ‘Facial Recognition Technology Key Issues and Emerging Concerns’ in Rita Matulionyte and Monika Zalnieriute (eds) The Cambridge Handbook of Facial Recognition In The Modern State (Cambridge University Press, 2024) 11-29.
  • Shah N, Bhagat N and Shah M, ‘Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention’ (2021) 4 (9) Visual Computing for Industry, Biomedicine, and Art 1-14.
  • Smith M and Mann M, ‘Facial Recognition Technology and Potential for Bias and Discrimination’ in Rita Matulionyte and Monika Zalnieriute (eds) The Cambridge Handbook of Facial Recognition In The Modern State, (Cambridge University Press, 2024).
  • Springwise, ‘Chinese Police Adopt Smart Glass Technology’ (2018) <https://www.springwise.com/chinese-police-adopt-smart-glass-technology/#:~:text=Using%20facial%20recognition%20technology%2C%20these,technology%20to%20assist%20police%20work> accessed 15 December 2024.
  • Thales Group, ‘Facial Recognition: Top 7 Trends (Tech, Vendors, Markets, Use Cases and Latest News)’ (2018) <https://www.thalesgroup.com/en/markets/digital-identity-and-security/government/biometrics/facial-recognition> accessed 20 January 2025.
  • The Guardian, ‘Human rights group urges New York to ban police use of facial recognition’ (2021) <https://www.theguardian.com/technology/2021/jan/25/new-york-facial-recognition-technology-police.> accessed 12 January 2025.
  • Yuksel S, ‘New Technologies through a Human Rights Lens: Reflecting on Personal Autonomy and Non-Discrimination’ (2022) 10 (2) Journal of Penal Law and Criminology 281-305.
  • Zalnieriute M, ‘Facial recognition technologies---freedom of expression--right to private life--surveillance--protest--biometric data--data privacy European Convention on Human Rights’ (2023) 117 (4) American Journal of International Law 695-701.
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Hukuk (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Neslihan Can Yavuz 0000-0002-6990-8274

Gönderilme Tarihi 1 Temmuz 2025
Kabul Tarihi 30 Ekim 2025
Yayımlanma Tarihi 22 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Sayı: 31

Kaynak Göster

APA Can Yavuz, N. (2026). BIG BROTHER ON DUTY: HUMAN RIGHTS CONCERNS ON BIOMETRIC FACIAL RECOGNITION FOR CRIME PREVENTION. Law and Justice Review(31), 27-46.