Abstract
The author concentrates on the recommendations aimed at ensuring the reliability of digital evidence by using (AI) artificial intelligence technologies. This article investigates the utilization of artificial intelligence in the automation of the analysis of digital evidence. The authors explore contemporary methodologies regarding the application of AI technologies for the processing, classification, and analysis of digital traces within forensic practice. The paper evaluates the advantages associated with the integration of AI into the processes of cybercrime investigation, which encompass the enhancement of processing speed for extensive data sets, the identification of concealed patterns, and the automation of routine tasks. Particular emphasis is given to machine learning, neural networks, and computer vision algorithms within the framework of digital evidence analysis. Furthermore, the article addresses the challenges concerning the reliability of results derived from AI systems, issues of legal regulation and ethical aspects of the use of automated solutions in criminal proceedings.