THE INTELLIGENT IMAGE AND MEANING RECOGNITION SYSTEMS IN THE CRIME PREVENTION SYSTEM

Abstract

Intelligent systems (IS) are the most promising area of information technology development, the importance of using AI technological solutions in economics and public relations is stated in legal acts. However, we are faced with a situation where information, for example, posted on the Internet, containing the intention to commit a crime is not revealed, which eventually leads to the realization of the criminal's criminal intentions. Although the capabilities of AI could well be used by authorized security agencies in the crime prevention system.

But, unfortunately, we were unable to find reports on the results of using predictive big data analytics methods in the crime prevention system on the territory of the Russian Federation. However, there are many foreign reports on the use of AI systems in order to prevent criminal acts. Perhaps this situation is related to different approaches to understanding the concept of “crime”.

In this regard, the article examines the possibilities of AI in order to determine the probability of: attributing the identified illegal actions to criminal ones based on correlating the signs of a crime; committing a crime by a specific person based on an analysis of his criminogenic qualities, as well as identifying criminal intent and assessing the probability of its transition to criminal actions.