Algorithmic Disenchantment and Value Reshaping: Ethical Risks and Governance Mechanisms of Embedding Generative AI into University Ideological and Political Education

Abstract

As Generative Artificial Intelligence (Generative AI) becomes deeply embedded in the field of higher education, Ideological and Political Theory Courses (hereinafter referred to as "Civics Courses") in universities are undergoing a paradigmatic transformation from "digitization" to "intelligence." As a disruptive technology, Generative AI has greatly enhanced the precision and sense of gain in ideological and political education through automated content production, anthropomorphic emotional interaction, and personalized scenario construction. However, the strong intervention of technological logic has also triggered deep-seated ethical concerns: the algorithmic "black box" may obscure the light of truth, leading to "technological dependence" and "mental laziness" in cognition; data bias may implicitly dissolve the authority of mainstream ideology, triggering "algorithmic colonization" of values; and the alienation of human-machine relationships may lead to the dual withdrawal of teacher and student subjectivity, causing "emotional hollowing" in the educational process. Facing these challenges, it is imperative to perform "algorithmic disenchantment" on Generative AI, penetrating the capital logic and technological limitations behind its instrumental rationality. Furthermore, "value reshaping" in ideological and political education must be achieved through paths such as constructing ethical regulations for "human-machine synergy," creating independent and controllable vertical models, and reshaping the digital literacy of teachers and students. This paper aims to explore the dialectical unity of technological empowerment and value leadership from the three dimensions of ontology, epistemology, and axiology, providing an ethical barrier and governance scheme for the high-quality development of university Civics Courses in the intelligent era.