Nov 30, 2023 – 6.00 pm CET
With Dr. Gizem Gültekin-Várkonyi (Assistant professor, University of Szeged, Faculty of Law and
Political Sciences, International and Regional Studies Institute)
Organized by Michael Kolain (RAILS)
Facial recognition technologies (FRT) have gained increasing prominence within law enforcement agencies (LEAs), playing a pivotal role in functions such as identification, crime prevention, authorization, criminal profiling, and tracking. Their integration into law enforcement operations has the potential to significantly enhance societal wellbeing and contribute to the broader social good, aligning with the overarching mission of LEAs. Public acceptance of FRT use by LEAs is generally positive, contingent upon these technologies not expanding surveillance practices. However, concerns related to privacy and data protection loom large.
This talks will highlight some initial thoughts on the risks associated with FRT employed by LEAs, with a specific emphasis on the interplay between the General Data Protection Regulation (GDPR) and the proposed Artificial Intelligence Act (AI Act). The pivotal role of biometric data, encompassing facial features, fingerprints, and behavioral patterns, classified as sensitive personal
information under GDPR, creates substantial apprehensions. The AI Act, while ostensibly aligning with GDPR principles, introduces complexities in risk management, necessitating a comprehensive approach to address these concerns.
As we navigate the evolving landscape of AI and datadriven technologies, a proactive examination of these risks is imperative before the AI Act’s implementation. This exploration encompasses a spectrum of issues, including data processing purposes, administrative challenges, and potential equality considerations. By addressing these concerns preemptively, we can work towards the responsible deployment of FRT within LEAs, aligning societal benefits with privacy and ethical considerations.