Neural network in the structure of the objective side of a criminal against public morality (on the example of articles 240, 241-2422 of the Criminal code of the Russian Federation)

Artificial intelligence is currently being implemented and used consistently, including in criminal activity. The purpose of the study is to study neural networks that facilitate the commission of illegal acts included in the articles of Chapter 25 of the Criminal Code of the Russia, in the consistent objective part of the compositions are given as optional features.

To achieve and in accordance with the stated Goal, it is necessary to solve the following tasks: analyze the place of the studied typical machine learning in the consistent objective part of the compositions of the results using the example of Articles 240, 241–242² of the Criminal Code of the Russia, define the neural network as an optional feature of the objective side of the specified illegal acts, reveal the problems of qualification when using generative mathematical models.

The methodological basis of the study is the general dialectical method, as well as a set of general scientific and specific scientific methods of cognition for a comprehensive consideration of the problem under study.

Research results. In the manifestation of the objective side of the crimes described in Art. 240, 241– 242² of the Criminal Code of the Russia, generative mathematical models can act as optional grounds for the objective side – the exit, means or completion of a criminal act. Various approaches have been identified in which neural networks use the language of computer systems, image synthesis, audio and video recordings, technology in description and processing in different ways, characterizing, in some cases, the method, means or instrument of committing criminals, as well as in other ways. and achieving perfection. Research results. In modern conditions, generative mathematical models have a wide potential as criminogenic phenomena that contribute to the commission and dissemination of existing illegal acts, in particular, with recourse to pornography and the organization of prostitution, which requires the presence of criminal legislation and the practice of its application. The commission of illegal acts against morality using neural networks significantly increases the social danger, in connection with which it is necessary to introduce into Art. 240, 241–242² of the Criminal Code of the Russia, a new qualifying feature indicating the commission of a crime using artificial intelligence systems, as well as a changing circumstance aggravating the consequences, in Art. 63 of the Criminal Code of the Russia.

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