The study of artificial intelligence as a product of a new digital existence in the context of crime prevention is an urgent and interdisciplinary area of scientific research within the framework of modern legal discourse. The article discusses the main criminological risks of using AI technologies in the prevention of juvenile delinquency. The main purpose of the research is to summarize the available theoretical developments, as well as to gain new knowledge about the possible risks posed by AI in preventive activities, in order to enhance scientific research interest in this problem and improve practical developments in the field of preventive AI activities. Research methodology: a set of general scientific (analysis, synthesis, comparison, generalization) and private scientific (comparative law, sociological, legal modeling, content analysis) methods of scientific cognition of objective activity. As a result of the conducted research, it has been established that modern AI technologies demonstrate a tendency towards integrativity and symbiosis; the existing external, causal (explicit) and internal, subjectively determined (implicit) criminological risks of using AI in the prevention of juvenile delinquency have been identified. External risks are based on taking into account the circumstances of reality, the causes and conditions in which AI is used; internal risks involve taking into account the architectonics of the technologies themselves. Special attention is paid to the importance of a qualified expert approach at the decision‑making stage. The findings are intended to contribute to the improvement of regulatory, organizational and technological measures in the development of new AI hardware and software products to prevent juvenile delinquency.
Elizaveta Demidova-Petrova (Thu,) studied this question.