How AI can improve the efficiency and effectiveness of HRM in the Civil Service Commission of Kuwait

This study investigates the role of AI in improving the efficiency and effectiveness of HRM in the Civil Service Commission of Kuwait. Focusing on five key HRM areas namely recruitment & selection, performance management, compensation, training & development, and promotion; this study explores how AI moderates the relationship between these practices and HRM outcomes. Using a quantitative survey approach, data from 228 employees were analyzed through structural equation modeling. The findings reveal that AI positively moderates the relationship between recruitment, performance management, compensation, and promotion with HRM efficiency and effectiveness. At the same time, no significant effect was observed for training & development. The results underscore AI’s potential to reduce biases, enhance decision-making, and increase transparency in HRM processes. However, challenges in integrating AI into training & development highlight the need for a more tailored approach to implementation. Finally, the study refers to the fact that AI can significantly transform HRM in the public sector, particularly by enhancing efficiency and fairness. However, careful consideration is needed for its successful integration across all HR functions.