An undeniable trend in modern scientific and technological development is the integration of artificial intelligence systems into various spheres of human life and activity. Forensic science is also a focus of attention among members of the scientific community as a potential application area for the corresponding neural networks, as evidenced by numerous publications and emerging software products. However, alongside the attractive prospects of using error-free "machine intelligence" in forensic examinations, a number of fundamentally important questions arise related to both the specific nature of the objects of study and the procedural status of forensic experts in legal proceedings and their opinions as a source of evidentiary information in the case. Therefore, this area of scientific and practical knowledge requires not simply the adoption and application of new technologies, but rather their in-depth understanding through the prism of the scientific and theoretical foundations of individual branches of forensic science and the procedural significance of forensic examination results. Taking this into account, this article examines the feasibility of correctly implementing artificial intelligence systems and its technologies in forensic examinations.
forensic examination, artificial intelligence, artificial intelligence technologies, expert opinion, neural networks, evidence in the case
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