The subject of this study is the analysis of victimological risks arising from the use of artificial intelligence (AI) technologies in the context of information and communication crimes (ICT crimes), as well as the identification of their specific characteristics. The work aims to explore the qualitative transformation of the nature of ICT crimes, which is driven by the implementation of intelligent algorithms. Special attention is given to the changing role of AI, which evolves from a supportive tool in the hands of wrongdoers to a key factor that fundamentally modifies the traditional interaction model of "criminal – victim." The study also analyzes the shift from exploiting random user errors to targeted and personalized manipulative impacts on the psychology and behavioral patterns of individuals. In this context, the concept of personal responsibility of the victim is subjected to critical analysis, as it becomes increasingly inconsistent with the modern realities of high-tech manipulation. The methodology is based on a comprehensive approach. Theoretical analysis of literature on victimology, criminology, and information security was applied, as well as a comparative-legal method. Systemic analysis was key for studying AI crime as a holistic system. Additionally, a trend forecasting method was used. The scientific novelty of the study lies in substantiating two interrelated theses. Firstly, there is a conceptual shift from viewing artificial intelligence as a tool to analyzing it as a catalyst that generates a new class of victimological risks based on personalized psychological influence. Secondly, it is proven that victimization increasingly depends less on user errors and more on the complexity of the attack, which requires a revision of established victimological models. The main conclusion of the research emphasizes the need for a comprehensive response that combines technical and legal measures with attention to the human factor. A key task is to develop the population's ability to critically assess information and recognize manipulations created by AI. This approach is a crucial condition for reducing the risk of becoming a victim of cybercrime.
Lyudmila Aleksandrovna Golubeva (Thu,) studied this question.