Liang Han

Liang Han

Oct. 30, 2026

AI empowerment, Ideological courses, Ethical risk, Standardized path, Governance Framework.

With the rapid development of Artificial Intelligence Generated Content (AIGC), its application in teaching ideological courses in universities brings both innovative opportunities and ethical risks. This article systematically analyzes the ethical risks of data leakage, algorithm bias, value deviation, and subject displacement in the process of AI empowered ideological education teaching, and points out that the inherent tension between technological logic and the value attributes of ideological education is the root cause of the risks. By constructing a hierarchical and progressive governance framework, it is proposed to establish an algorithm value calibration system and intelligent audit mechanism at the technical level, formulate application norms and regulatory mechanisms at the institutional level, and strengthen the cultivation of ethical and critical thinking abilities of teachers and students at the literacy level. This framework aims to achieve compliant and scientific application of AI technology, ensuring the implementation of the fundamental task of cultivating morality and talent.

© 2026, the Authors. Published by ISCCAC

This is an open access article distributed under the CC BY-NC license