Ethical Risks and Mitigation Strategies Arising from AI-Enabled Human Resource Management in the Public Sector

Artificial intelligence technologies are reshaping human resource management (HRM) processes in the public sector through intelligent algorithms and big data analytics. Their applications in three key scenarios—talent recruitment, performance evaluation, and training—play increasingly critical roles. This study identifies major ethical risks: challenges to decision-making fairness caused by algorithmic black boxes, ambiguity in accountability attribution within human-machine collaboration, and power imbalances resulting from data monopolization. To address these, we propose a "Tripartite Governance Framework for Technology": establishing algorithmic auditing mechanisms, refining ethical standards for human-AI collaboration, and fostering a digital governance culture. This framework provides actionable pathways for the digital transformation of public sector HRM in the AI era.