The concept of a risk-based approach to the development of artificial intelligence technologies Danil Vyacheslavovich Budko

Introduction: this article presents the findings of a study examining the criminological risks associated with artificial intelligence (AI) technologies and the risk factors that contribute to their development. Materials and Methods: the research materials included the following: The legislation of the Russian Federation on the risk-based approach to the development of artificial intelligence; sociological theories that support the concept of risk; criminal law and criminological studies. The research employed established methods, including the universal dialectical method, general scientific methods (analysis, synthesis, deduction, induction, and generalization), and specific scientific methods (formal legal and sociological). Literature review: a review of the literature was conducted, encompassing the works of Russian scientists in the field of criminal policy, the consideration of sociological theories, and the examination of the outcomes of practical experience derived from foreign research. Results: the study's findings indicate that a risk-based approach to criminological research is a necessary development, based on an analysis of sociological theories and law enforcement practices. The author provides a detailed elaboration of the concept of "criminological risk" and underscores the distinctive characteristics of risks associated with artificial intelligence technologies, as well as identifies the risk factors that characterise these technologies. Discussion and Conclusions: the modern society is confronted with an array of risks that have emerged alongside technological advancement. The advent of artificial intelligence (AI) technologies has given rise to significant concerns. A risk-based approach to criminological research may prove an effective means of mitigating the risks associated with these technologies.