基于AIGC技术的人机协同高校就业指导机制探析

Analysis on the Human-Machine Collaborative Mechanism of College Employment Guidance Enabled by AIGC Technology

摘要: AIGC技术为高校就业指导带来效率革新，促进学生就业自主权提升，但也面临多重潜在风险，亟需引入理论框架深化分析。针对技术应用中算法偏差、数据治理、伦理权责等问题，研究建立“目标–操作–保障”三维协同机制，构建“分工–互动–迭代”指导流程及“技术–制度–文化”支撑体系，划定人机协同就业指导“育人红线”，为就业育人高质量发展提供理论借鉴。

Abstract: In university career guidance programs, the application of AIGC technology has significantly enhanced faculty mentoring efficiency and fostered student autonomy in career decision-making. However, multiple potential risks persist. To address algorithmic biases, data governance challenges, and ethical responsibilities in technological implementation, this study establishes a three-dimensional collaborative mechanism of “goals-operation-guarantee”, develops a guidance process featuring “division-of-labor-interaction-iteration”, and constructs a support system integrating “technology-institution-culture”. The research delineates the “educational red line” for human-machine collaborative career guidance, providing theoretical references for high-quality development in employment education.