DIGITAL PROFILE AS A TOOL FOR DETECTING CRIMINAL INVOLVEMENTS

Abstract

The article considers the process of collection and storage of digital traces in the context of Russian law enforcement and investigative activities’ improvement within the framework of prevention, as well as detection and investigation of crimes. Analyzing the implementation mechanism, it becomes obvious that the creation of such centralized systems as State detection system of prevention and liquidation of computer attacks consequences (Gossipy), together with the regulatory framework of the Yarovaya package, determines a new stage in the development of the state control system in the context of the digital transformation of society, namely the transition from collecting digital traces of an already committed crime (retrospective analysis) to mass collection and storage of digital activity traces in Russia in real time in order to solve a prognostic problem. This approach, using algorithmic processing of large amounts of network activity data, leads to the formation of digital profiles of citizens, which are subsequently processed by machine learning algorithms based on artificial intelligence and conditionally divided into two categories: “normal behavior model” and “risk group behavior model”. From the point of view of legislation, this fact contradicts the Constitution of the Russian Federation and other Federal laws in terms of guarantees for privacy and protection of personal data. It is noted that there is no legislatively enshrined procedure for contacting information who is given the right to obtain information contained in digital profiles, a list of grounds for obtaining this information for court approval.