from 01.01.2023 until now
Moskovskiy gosudarstvennyy yuridicheskiy universitet im O.E. Kutafina (MGYuA)
from 01.01.2023 until now
Russian Federation
UDC 343.148
The article deals with the issues of legal and organizational support for forensic expertise in the implementation of artificial intelligence technologies in this field, in particular artificial neural networks, which has theoretical and practical significance. The primacy of the above-mentioned aspects is substantiated. Considering the issues of legal regulation, the author comes to the conclusion that users of neural networks should be divided into two groups: experts and law enforcement officers. For the former, additional legal regulation is not required, regulation of their actions on the use of neural networks should be carried out using technical acts – appropriate forensic techniques. For the second group of users, it seems advisable to adopt methodological recommendations in the form of an order signed by all departments whose employees are authorized to appoint forensic examinations and evaluate expert opinions in criminal proceedings. When considering organizational aspects based on the conducted research, the author considers it necessary to identify a new group of methods – neural network research methods. The article substantiates the uniqueness of these methods, their essence and place in the system of methods of forensic expertise. In conclusion, the author suggests a refresher course program for experts who use neural networks in the process of conducting examinations, the certificate of completion of which con firms that they have the appropriate competence.
neural networks, artificial intelligence, forensic expertise, legal aspects, organizational aspects, expert methods, expert competence
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