Artificial Intelligence and the Relationship Between Law Enforcement and Public Administration
Copyright (c) 2024 Sáfrán József
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
In recent times, artificial intelligence (AI) has garnered significant attention, especially within the realms of public administration and security sectors. Not only in Hungary but globally, AI offers the prospect for security forces to respond more effectively to diverse threats, enhancing their overall efficiency. However, the integration of AI raises numerous ethical and legal concerns, particularly regarding
personal data protection, civil liberties, and the role of the state. To comprehend this, it is imperative to review AI technology and the potential challenges that arise in its application within democratic societies. This study analyzes the current state of AI regulation in Hungary, examining the standards and directives that govern its use in the public sector and among security forces. Additionally, the role of the information society and media in shaping public
perception of AI, as well as its influence on the security sector, is scrutinized. For a deeper insight, we conduct an interview with a leading expert in the Hungarian security sector, who elucidates on the current extent and form of AI application in this domain and potential future avenues. In the concluding section of the study, we articulate insights about the relationship between AI and the Hungarian security sector (part of the law enforcement agencies and the Hungarian Defence Forces), including its advantages and risks, with a special focus on public administration. In an international comparison, we evaluate Hungary’s approach to AI against practices in other countries, highlighting potential development directions and best practices. The primary objective of this research is to provide a comprehensive understanding of the dynamic relationship between AI and Hungarian security forces, focusing on potential impacts on public administration and legal considerations.
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