Using Generative Neural Networks as a Media in Education: Formal Analysis in the Context of the Russian Legal System

The article discusses using of generative neural networks in education, especially in legal education, as an example, employing formal analysis in the context of the Russian legal system.Neural networks are considered as a kind of media and hence the issue of using neural networks by students is by nature a question of media education, its application, and its limits.The core question is whether it is possible to give students the opportunity to use generative neural networks when performing tasks like writing a diploma.Neural networks are considered as a kind of "new media" that must be assessed in the context of the media philosophy dichotomy between "tool" and "body".The article reviews several scenarios of law students using neural networks and the conclusion is provided that not in all cases it is inadmissible.However, in the cases that concern the core competences that relate to understanding law as a phenomenon of information and communication, it is inadmissible.Such core competences imply command of natural language and writing reasoning skills.It is critical to take into an account the provisions of the legislation that focus on the concept and purposes of education which clarify the matter on the formal side.Ultimately, the "blackout test" is suggested to discern the cases were using of neural networks in education is not possible.