Author: Xayitov, Baxodir Taxirovich

Annotation: This article discusses the use of machine learning technologies for behavioral analysis in criminal investigation training. The study examines the possibilities of analyzing verbal and non-verbal behaviors during investigations, evaluating interview processes, and improving decision-making quality. Methods for developing investigators’ professional skills through systems based on multimodal data, including text, audio, and video information, are analyzed. The results show that machine learning-based systems are more effective than traditional assessment methods.

Keywords: Machine learning, behavioral analysis, criminal investigation, artificial intelligence, multimodal data, explainable AI, adaptive learning.

Pages in journal: 698 - 704