Transforming Law Enforcement with AI: Insights from the EU AI Act and Hungary's Perspective

Gyaraki, Réka Eszter and Mezei, Kitti (2025) Transforming Law Enforcement with AI: Insights from the EU AI Act and Hungary's Perspective. CRIMINAL GEOGRAPHICAL JOURNAL, 7 (1-2). pp. 33-48. ISSN 2676-9778

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Abstract

This paper examines the transformative potential and challenges of integrating artificial intelligence (AI) into law enforcement, focusing on the European Union's AI Act and its implications for Hungary. It explores the ethical and legal issues surrounding applications like predictive policing, real-time biometric identification, and offender profiling, emphasising the risks of data biases and violations of fundamental rights. While Hungary has yet to deploy AI in law enforcement, the paper identifies promising areas for adoption, including video analysis, behavioural profiling, and open-source intelligence gathering. The findings underscore the importance of balancing innovation with robust governance to safeguard rights and public trust. By analysing the intersection of criminal geography, technology, and law enforcement, this study highlights how AI can serve as a catalyst for smarter resource allocation and more effective crime prevention strategies

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