Artificial Intelligence Empowering the Modernization of University Supervision Systems: Theoretical Framework, Value Dimensions, and Practical Pathways

The digital transformation of education provides both policy and practical foundations for technological empowerment. This paper constructs a theoretical framework for the modernization of university supervision systems empowered by artificial intelligence (AI), based on a three-layer technical logic of “data–algorithm–application.” It designs an evaluation index system that includes the degree of technological application, process optimization, and risk prevention capability. The core values of AI empowerment are analyzed from three perspectives—efficiency improvement, resource balance, and risk control. Through diversified technological scenarios, the innovative mechanism of “AI preliminary screening–manual review–expert assessment,” and the integration of domestic and international practices, the paper explores practical pathways for modernized supervision. Artificial intelligence promotes the transformation and development of university supervision systems, reinforcing the supervisory foundation for modern education governance and the building of a strong education system.