Contemporary Challenges in the Integration of Artificial Intelligence within China’s Higher Education System

Background. The systemic integration of artificial intelligence across various levels of educational system, including higher education, within regional, local, and national educational projects underscores the necessity of developing and testing methodologies for AI implementation, selecting appropriate evaluation methods, and researching best practices for effective deployment and resource support. Objectives. The aim is to examine the essential elements and optimal practices for organizing educational projects in China. The study focuses on the integration of artificial intelligence technologies and the possible implementation of the results in higher education system of the Russian Federation. Methods. The main sources of data for analysis include programme documents, plans for the development of the “intelligent education”, and research results on introducing innovations in AI in higher educational institutions of China. Results. The research analyzes approaches to the digital transformation of China’s higher education system in the context of artificial intelligence (AI) technologies, highlighting the dynamics of legislative development. 1) It explores the development of regulatory and legal frameworks pertaining to the implementation of AI technologies in China’s higher education system at regional and national levels. 2) It addresses issues of professional training in using generative AI. Conclusions. The analysis of AI implementation in China’s higher education system highlights the development of regulatory frameworks and the implementation of regional development programmes: the necessity to pinpoint crucial indicators that reflect the effective integration of artificial intelligence technologies within national educational initiatives.