Artificial Intelligence in Forensic Automotive Expertise
( Pp. 158-165)

Abstract: The purpose of the study. The article deals with topical issues arising from the introduction of artificial intelligence (AI) technology into forensic automotive expertise, in particular when solving the problem of establishing the technical condition of a vehicle (vehicle). The essence of any forensic examination, including this kind, is manifested through a set of mandatory elements (signs): the subject, object and methods of solving the tasks set. Conclusions. Changes in the vehicle object due to the introduction of AI technology leads to changes in the subject of expertise and the methods used. The expansion of the subject of expertise invariably affects the competence of the expert – the range of issues that he is competent to solve. In addition, AI performs in two qualities in forensic automotive expertise: 1) an updated object and 2) a tool (technical means) used by an expert to study the updated object. Promising areas of AI use in the study of the technical condition of the vehicle as a type of forensic automotive expertise are computer vision technologies and artificial neural networks.

Koltyapin I.A., Chesnokova E.V. Artificial Intelligence in Forensic Automotive Expertise // Gaps in Russian Legislation. 2024. Vol. 17. №3. Pp. 158-165. (in Russ.). DOI: 10.33693/2072-3164-2024-17-3-158-165. EDN: KMKKQA

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artificial intelligence, forensic automotive expertise, investigation of the technical condition of the vehicle, solving routine tasks of forensic examination..