Artificial Intelligence in Forensic Automotive Expertise

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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.

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作者简介

Ivan Koltyapin

Peoples' Friendship University of Russia (RUDN University)

编辑信件的主要联系方式.
Email: vanes405@gmail.com

postgraduate student of the Forensic Activities Department, Institute of Law

俄罗斯联邦, Moscow

Elena Chesnokova

Peoples' Friendship University of Russia (RUDN University)

Email: elenaches@yandex.ru
SPIN 代码: 9043-6982
Scopus 作者 ID: 473619

Dr.Sci.(Law), Head of the Forensic Research Methodology Department of the Russian Federal Centre of Forensic Science of the Russian Ministry of Justice, Associate Professor of the Forensic Activities Department, Institute of Law

俄罗斯联邦, Moscow

参考

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