Generative AI Empowers Ideological and Political Leadership in Colleges and Universities: Coupling Mechanisms, Potential Risks, and Practical Pathways

Empowering the enhancement of university ideological and political leadership through generative artificial intelligence is an inherent requirement for the digital transformation of ideological and political education in higher education, as well as an inevitable measure for achieving the goal of building a leading educational nation. An analysis of the internal logical relationship between generative AI and university ideological and political leadership reveals that technological features such as human-computer interaction, technological synchronization, and scenario generation are intrinsically coupled with the affinity, synergy, and intelligent attributes of ideological and political leadership in the new era. However, this coupling also gives rise to potential risks, including deviation in leadership direction, convergence in leadership pathways, and fragmentation of leadership value. To address these challenges, the empowerment of university ideological and political leadership through generative AI can be strengthened from three dimensions: enhancing human-machine value alignment, improving the intelligent literacy of teachers and students, and regulating intelligent application scenarios, thereby promoting the effective enhancement of university ideological and political leadership through intelligent technology empowerment.