FORENSIC SUPPORT FOR THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN THE DETECTION AND INVESTIGATION OF CRIMES

The subject of the study is the possibility of using artificial intelligence systems in order to solve and investigate crimes. The author, using the example of GPT (Generative Pre-trained Transformer) neural network architecture, invented by «Google» researchers, shows the capabilities of artificial intelligence to analyze situations arising during the disclosure and investigation of crimes and to put forward reasonable versions based on them on the circumstances of the commission of an illegal act. The study demonstrates the possibility of drawing up programs (plans) for criminal investigations based on such versions. The object of the study is the process of forensic cognition of criminal activity, the mechanism for reflecting traces in information sources, as well as the features of activities to disclose, investigate and prevent consequences using artificial intelligence systems in the course of subsequent activities. The main conclusion of the study is the need for training and using of neural networks in law enforcement for the purpose not only identifying, disclosing and investigating crimes and administrative offenses, but also their prevention and suppression. A special contribution of the author to the research of the topic is the identification of patterns that arise in the process of learning and using the capabilities of the neural network in providing assistance to law enforcement entities in applied research. The scientific novelty of the work can be the results obtained in the process of conducting an experiment on training and using a separate GPT neural network in forensic analytical work to put forward versions and plan an investigation. The paper provides recommendations for the training of law enforcement officers on the effective use of neural networks in law enforcement.