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 social relations arising during the use of artificial intelligence systems in law enforcement. Special attention is paid to the process of training the neural network to use modern forensic tools and methods in detection, disclosure and investigation. The main conclusions of the study are the need for training and the use of neural networks in law enforcement not only for the purpose of 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 novelty of the work lies in the experiment conducted for the first time on training and using a separate GTP neural network in forensic analytical work on putting forward versions and planning an investigation. The paper provides recommendations for the training of law enforcement officers on the effective use of neural networks in law enforcement.

Forensic support, neural network, artificial intelligence, detection, disclosure, investigation, crimes, investigator, administrative offenses, operative