THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE STRUCTURE AND DYNAMICS OF ORGANIZED CRIMINAL GROUPS
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE STRUCTURE AND DYNAMICS OF ORGANIZED CRIMINAL GROUPS

Summary/Abstract: This study examines the impact of artificial intelligence on the organization and functioning of organized criminal groups, starting from the premise that AI is not merely a technological tool for committing crimes, but also a factor driving the structural transformation of organized crime. The research highlights that AI resources increase the efficiency, scalability, and adaptability of illicit activities, while simultaneously lowering barriers to entry and reducing dependence on specialized technical expertise. The analysis argues that the essential impact of AI manifests itself at the organizational level, through the erosion of traditional hierarchical models and the emergence of flexible, distributed, modular, or weakly formalized forms of organization. Consequently, the organized criminal group tends to be understood less as a stable and formalized structure and increasingly as a dynamic set of functional relationships configured around common criminal objectives. From a criminal law perspective, the study shows that the use of AI does not, in principle, require a radical reform of the normative framework, but rather calls for an evolutionary interpretation of concepts such as “structure,” “coordination,” and “continuity.” At the same time, the paper highlights difficulties relating to the delimitation of criminal participation, the establishment of causation, the attribution of criminal results, and the administration of digital evidence. The study concludes that artificial intelligence places significant conceptual and practical pressure on criminal law and, with regard to organized criminal groups, compels it to move from a static approach toward a functional one, adapted to the fluid and technology-driven forms of contemporary criminality.

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