The problem of legal assessment of the essence of scientific and educational texts from the perspective of the role and place of the author in the generative content of neural networks

The constant development of digital technologies and artificial intelligence and their introduction into education is mandatory for most leading universities in Russia and abroad, since technologies based on artificial intelligence (for example, neural networks, machine learning, etc.) give a new impetus to the development of universities and educational institutions. At the same time, both in Russia and abroad, the risks are recognized (the use of a large amount of educational content and materials has created a high demand for compliance with intellectual property rights), and the benefits (personalization of learning, improving the effectiveness of the education system) from the introduction of AI in education. At the same time, there is an urgent need for scientific understanding and analysis of legal approaches to regulating the work of neural networks and generative artificial intelligence in the context of scientific texts created by them/with its help from the perspective of the possibilities of solving the problem of trust in such results and the use of AI in education, while simultaneously assessing the pros and cons of AI support provided to people and participants in educational relations in particular taking into account the provisions of current copyright law and approaches to recognizing the authorship of AI in foreign legal systems. Such a study is conducted by the author from the standpoint of methodology, assuming a subjective and objective definition of the world, and methods of dialectics. Scientific novelty is determined by the very purpose of the research. Among other things, the identified prospects for the use of AI in education are linked by the author in writing with the help of artificial intelligence and subsequent evaluation of students' work; it is revealed that a discussion in society about the moral, ethical and pragmatically useful components of neural networks is required; a thorough analysis of the existing legal regulation of neural networks abroad and internationally to create adequate domestic regulation when developing approaches to the legislation of the Russian Federation and taking into account the need to respect the economic and technological sovereignty of the country and consolidate the moral and ethical guidelines of scientific works; development of algorithms for the operation of the Anti-Plagiarism system, which will allow separating the personal contribution of the author of a scientific text from a machine (algorithm, AI).

education, science, author, authorship, generated content, neural networks, copyright, digitalization, problem of trust, content labeling