Zhang et al. on The Regulatory Landscape of Generative AI in Education and the Future of Student Psychological Well-being —— A Comparative Analysis of EU and Chinese Legislation

Shengyin Zhang (Guizhou Normal U) and Jidong Wang (Northeast Normal U) have posted “The Regulatory Landscape of Generative AI in Education and the Future of Student Psychological Well-being —— A Comparative Analysis of EU and Chinese Legislation” on SSRN. Here is the abstract:

This research is intended to undertake a thorough comparative analysis of the applicability of the EU AI Act and China’s Interim Measures for the Administration of Generative AI Services within the realm of education.As generative artificial intelligence (Generative AI) becomes increasingly prevalent in educational settings, its implications for students’ learning patterns, cognitive development, and mental well-being have emerged as a central topic of global concern.By means of a meticulous examination of the texts of these two major regulations, and in conjunction with relevant expert perspectives and academic research findings, this paper systematically dissects the core disparities in their regulatory philosophies and regulatory pathways.Particular emphasis is placed on exploring potential regulatory gaps in safeguarding the mental health of students, especially minors. Additionally, this paper offers forward-looking recommendations for the refinement of future related policies.