Implementation of artificial intelligence technologies in law enforcement: prospects and potential threats

the authors carry out a comprehensive analysis of the prospects for the use of artificial intelligence technologies in the framework of the implementation of the criminal law policy of the state and the risks associated with it. The article examines the main prospects for the use of artificial intelligence (AI) technologies in law enforcement activities in the Russian Federation, classifies the main types of artificial intelligence and types of its training, and analyzes key aspects of the possible use of AI in the conduct of law enforcement activities. Particular attention is paid to the possible risks associated with its use, and specific measures are proposed to minimize them and ensure the most effective implementation in law enforcement activities. Attempts are being made to prove the fact that the use of AI in law enforcement activities can radically change the approach to crime investigation, providing not only a high-quality, comprehensive and complete investigation of crimes. The authors conclude that AI is an extensive field of computer science focused on creating systems capable of performing tasks that usually require the use of human intelligence. It is proposed to consider AI by types of learning – natural language processing and machine learning. They discuss type 2 in more detail. They are trying to prove that machine learning is the most effective. It helps to identify various patterns that may go unnoticed when using traditional analytical methods. Various examples of such technologies are given.

law enforcement, artificial intelligence, types of artificial intelligence, artificial intelligence training, prospects, possible risks, proposals for minimizing risks