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Ethical Considerations and Legal Frameworks for Biometric Surveillance Systems: The Intersection of AI, Soft Biometrics, and Human Surveillance

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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Abstract

Biometric surveillance systems, combined with artificial intelligence (AI) and soft biometrics, have revolutionized the identification, and tracking of individuals based on their unique physical and behavioral characteristics. However, the integration of these technologies raises important ethical considerations and necessitates robust legal frameworks. This paper explores the amalgamation of AI, soft biometrics, and human surveillance, focusing on the ethical implications and legal regulations governing their use. The paper provides an overview of biometric surveillance systems, explaining the components and types of biometric modalities employed, such as fingerprints, facial recognition, iris recognition, voice recognition, and gait analysis. It highlights the applications and benefits of biometric surveillance systems in various domains, including law enforcement, access control, and health care. Ethical considerations in the deployment of biometric surveillance systems are thoroughly examined, including privacy concerns, informed consent, discrimination, and bias, and ensuring accountability and responsible use of technology. The significance of robust legal frameworks is emphasized, and an analysis of existing laws and regulations in different jurisdictions, including the UN, USA, Europe, France, Japan, India, Australia, and New Zealand, is provided.

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References

  1. Reid DA, Samangooei S, Chen C, Nixon MS, Ross A (2013) Soft biometrics for surveillance: an overview. Handbook Statist 31:327–352

    Article  MathSciNet  Google Scholar 

  2. McStay A (2020) Emotional AI, soft biometrics and the surveillance of emotional life: an unusual consensus on privacy. Big Data Soc 7(1):2053951720904386

    Article  Google Scholar 

  3. Marciano A (2019) Reframing biometric surveillance: from a means of inspection to a form of control. Ethics Inf Technol 21(2):127–136

    Article  Google Scholar 

  4. Weibel D, Schelling E, Bonfoh B, Utzinger J, Hattendorf J, Abdoulaye M et al (2008) Demographic and health surveillance of mobile pastoralists in Chad: integration of biometric fingerprint identification into a geographical information system. Geospat Health 3(1):113–124

    Article  Google Scholar 

  5. Gates, K. A. (2011). Our biometric future: Facial recognition technology and the culture of surveillance (Vol. 2). NYU Press.

    Google Scholar 

  6. Vyas R, Kanumuri T, Sheoran G (2019) Cross spectral iris recognition for surveillance based applications. Multimed Tools Appl 78:5681–5699

    Article  Google Scholar 

  7. Parashar A, Parashar A, Abate AF, Shekhawat RS, Rida I (2023) Real-time gait biometrics for surveillance applications: a review. Image Vis Comput 138:104784

    Article  Google Scholar 

  8. Nieto M, Johnston-Dodds K, Simmons CW (2002) Public and private applications of video surveillance and biometric technologies, vol 2(6). California State Library, California Research Bureau, California

    Google Scholar 

  9. Buresh DL (2021) Should personal information and biometric data be protected under a comprehensive federal privacy statute that uses the California consumer privacy act and the Illinois biometric information privacy act as model laws? Santa Clara High Tech LJ 38:39

    Google Scholar 

  10. Godfrey A, Vandendriessche B, Bakker JP, Fitzer-Attas C, Gujar N, Hobbs M et al (2021) Fit-for-purpose biometric monitoring technologies: leveraging the laboratory biomarker experience. Clin Transl Sci 14(1):62–74

    Article  Google Scholar 

  11. North-Samardzic A (2020) Biometric technology and ethics: beyond security applications. J Bus Ethics 167(3):433–450

    Article  Google Scholar 

  12. McMahon M (2020) Illinois biometric information privacy act litigation in federal courts: evaluating the standing doctrine in privacy contexts. Louis ULJ 65:897

    Google Scholar 

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Correspondence to Arjun Choudhary .

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Punia, M., Choudhary, A., Agarwal, S., Shukla, V. (2024). Ethical Considerations and Legal Frameworks for Biometric Surveillance Systems: The Intersection of AI, Soft Biometrics, and Human Surveillance. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_45

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_45

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