人工智能在人力资源管理中的治理悖论与平衡机制研究OA

Artificial intelligence(AI)is profoundly reshaping the theoretical foundations and practical paradigms of human resource management(HRM).However,its driving effect is not a single technical-tool embedding but a systematic process of multi-dimensional co-evolution.Breaking through the traditional"human-organization"binary analytical framework,this article theoretically positions AI agents with autonomous decision-making capabilities as a third active agent alongside humans and organizations,constructing a"human-machine-organization"ternary interaction model.It proposes a co-evolutionary analytical framework containing four dimensions:technology embedding,decision agency,organizational adaptation,and ethical governance,and develops a measurement scale for human-machine collaboration quality encompassing task complementarity,cognitive complementarity,and relational trust.Empirical testing based on survey data from 887 corporate employees shows that:technology embedding enhances HR strategic effectiveness through promoting organizational adaptation;organizational adaptation drives innovation performance by fostering high-quality human-machine collaboration;ethical governance significantly and negatively moderates the strengthening effect of technology embedding on AI decision autonomy.This reveals the core management proposition that"efficiency stems from technology,effectiveness stems from organization,"confirming that ethical governance is not an exogenous constraint but an endogenous regulatory architecture within the technology application process,providing theoretical guidance and practical insights for enterprises to build a sustainable human-machine collaborative advantage.