Abstract: As a vertical application form of generative artificial intelligence embedded in ideological and political education in universities, the ideological and political model has expanded the supply of educational content, teaching support functions, and interactive education scenarios. However, it has also brought risks such as ideological security risks, imbalanced education mechanisms, and governance disorder. The main manifestations are errors in the interpretation of authoritative knowledge and value orientation, imbalances in the relationship between teachers, students, and technology, weakened practical transformation, as well as damage to data rights, blurred application boundaries, and unclear responsibility attribution. The risk generation is not only due to the structural tension between the probability generation mechanism and theoretical interpretation requirements, but also related to the deviation of subject practice and the lag of institutional supply. In this regard, we should adhere to the fundamental principle of cultivating virtue and nurturing people, improve the ideological security guarantee mechanism that integrates value calibration and content governance, construct a safe operation mechanism that is controllable in technology and adaptable to different scenarios, improve the human-machine collaborative education mechanism led by teachers, student-centered, and model assisted, and strengthen the classification and grading supervision, full life cycle management, and implementation of rights and responsibilities, promoting the safe, standardized, and effective application of the ideological and political model.