Generative AI Mapping Risks and Breakthrough Pathways in Emotional Governance by University Counsellors

Generative AI has substantial technical potential to address structural challenges in university counsellors' emotional governance-notably via affective simulation and interactive engagement-yet its integration gives rise to fundamental contradictions where instrumental rationality encroaches upon valuebased rationality.Drawing on the risk governance framework of "Whole-Process Control, Multi-Agent Collaboration, Dynamic Calibration" and empirical data from 128 university counsellors and 1639 undergraduates , this study couples the operational chain of emotional governance to deconstruct a contextualized fourdimensional risk landscape (technological functional deviation, subjective dualsubject alienation, emotional value bias/dilution, and ethical privacy/fairness imbalance) arising from generative AI embedding.The research empirically identifies three core tensions underpinning these risks: the conflict between the instrumental logic of risk governance and the value logic of emotional governance; the contradiction between technology's efficiency-driven orientation and education's humanistic essence; and the dissonance between rigid regulatory designs and the flexible nature of human emotional interaction.Correspondingly, this paper proposes breakthrough pathways with a logical progression of "technical foundation→subject empowerment→institutional guarantee→ethical bottom line": emotion-friendly technical control mechanisms, human-machine collaborative emotional resilience cultivation, elastic institutional coordination mechanisms, and context-specific safeguards for emotional data security and fairness.These pathways-supported by pilot intervention results--offer empirically grounded theoretical foundations and actionable guidance for the synergistic integration of generative AI into emotional governance, especially tailored to Chinese universities' ideological and political education goals.