Practical Pathways and Ethical Reflections on AI-Enabled Psychological Crisis Intervention in Universities: An Exploration Based on the Support Case of Student Liang
Abstract
university counselors face real-world challenges such as delayed identification, limited resources, and difficulties in follow-up. This paper
takes the case of Student Liang, a freshman from the Class of 2024 whose psychological crisis was triggered by a family tragedy, as a starting point to explore the enabling pathways of artificial intelligence (AI) technology in psychological crisis intervention. The study proposes
a"three-tier progressive AI-assisted model" comprising a risk early warning layer, a strategy matching layer, and a process tracking layer, and
presents a simulation analysis based on this case. The findings indicate that, without replacing the humanistic care provided by counselors, AI
can significantly enhance the sensitivity of crisis identification, the degree of personalization in support plans, and the continuity of long-term
follow-up. Concurrently, the paper discusses ethical issues such as data privacy, algorithmic bias, and the boundaries of "human-machine collaboration, "offering theoretical and practical references for building an intelligent psychological education system in universities.
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DOI: http://dx.doi.org/10.70711/neet.v4i8.9938
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