Analysis reveals key challenges in state regulation of AI in education, highlighting urgent needs for frameworks.
The relevance of the study is due to the rapid introduction of artificial intelligence (AI) technologies into educational systems in the absence of balanced regulatory mechanisms. The purpose of this study is to analyze the key scientific positions and practical initiatives related to the formation of state regulatory frameworks for AI in education, highlight the main challenges and outline promising areas of development. Technological progress is ahead of the formation of legal frameworks, creating risks of violating academic integrity, data confidentiality and increasing digital inequality, which requires a comprehensive analysis of state strategies for managing these processes in Russia and abroad. The study found that the key problem is regulatory asynchrony: legislative initiatives do not keep up with the dynamics of AI development, especially in the field of generative technologies.
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Maxim A. Bochanov (2025) studied this question.
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