Ethical Risks and Prevention of Generative AI Embedded in Ideological and Political Education in Colleges and Universities

Abstract

While generative artificial intelligence provides important technical support for the digital transformation and precise education of ideological and political education in colleges and universities, it also contains multiple ethical risks such as subjectivity dissipation, value deviation, relationship alienation, and environmental complexity. Based on the three-dimensional analysis framework of "subject-institution-technology", this paper systematically explains the manifestations of ethical risks in the dimensions of subject, value, technology and environment when generative AI is embedded in ideological and political education in colleges and universities, and deeply analyzes the deep-seated causes including algorithm limitations, the expansion of instrumental rationality, the lag of institutional norms, and the weak ethical literacy of subjects. The research shows that preventing relevant ethical risks needs to adhere to the core orientation of "education-oriented and technology-supported". By strengthening value guidance, reshaping teacher-student and human-computer ethical relationships, improving institutional regulations and supervision mechanisms, and enhancing the ethical literacy of technical subjects and application subjects, a full-chain and multi-level risk prevention system should be constructed. This will realize the deep integration of technology empowerment and the essence of ideological and political education, ensure the safe, reliable and controllable application of artificial intelligence in ideological and political education in colleges and universities, and better implement the fundamental task of fostering morality and cultivating people.