Russian Journal of Economics and Law (Jun 2024)
Intellectual systems of pattern and meaning recognition in the system of prevention of crimes committed using the Internet
Abstract
Objective: to study the issues of legal regulation of intellectual systems for pattern and meaning recognition as part of the system to prevent and suppress offenses committed using information and telecommunication network.Methods: dialectical approach to the cognition of social phenomena, which allows analyzing them in their historical development and functioning in the context of objective and subjective factors, which determined the choice of the following research methods: formal-legal, comparative-legal, legal modeling, set theory, graph theory.Results: prevention of offenses includes prophylaxis and procedural forms of prevention of offenses. These two sets of forms share measures to eliminate the circumstances that contribute to the commission of offenses. However, the set of procedural forms of prevention does not include identification of causes and conditions contributing to the commission of offenses. Procedural forms aim at preventing specific types of offenses, while prevention to some extent uses the methods of predictive analytics, assuming the possibility of a negative antisocial event and using various organizational, technological and legal tools and measures. Consequently, prediction of criminal actions is one of the stages of prevention of offenses carried out using predictive analytics of data left by a person. The accuracy of calculations carried out by artificial intelligence (AI) is increasing every year; hence, the accuracy of the obtained probabilities and forecasts is also increasing.Scientific novelty: the article presents an interdisciplinary study of preventing negative social deviations occurring with the use of information and telecommunication network by means of interaction between the hosting providers, using intelligent systems of pattern and meaning recognition, and law enforcement agencies. It was established that the application of AI by law enforcement agencies and their interaction with hosting providers allows not only to identify illegal and socially dangerous content, but also to assess the probability of committing a crime by a particular person. Application of AI by hosting providers allows preventing illegal actions. This can be done by revealing the stage of criminal intent expressed in the information posted by a potential offender, thus minimizing the possibility of the intent outgrowth into real criminal actions.Practical significance: the main provisions and conclusions of the article can be used in scientific, pedagogical and law enforcement activities when considering issues related to the legal regulation of AI algorithms, the possibility of their application in order to prevent and suppress offenses committed with the use of information and telecommunications network.
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