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The article is devoted to the study of methods for applying artificial intelligence (AI) technologies in the human resource (HR) management system of modern organizations. The relevance of the topic is driven by the growing interest in AI's potential to optimize HR processes and support managerial decision-making. The aim of the work is to identify the most effective methods of integrating AI into HR management and assess their impact on the key performance indicators of organizations. Tasks include: 1) analyzing existing approaches to AI usage in HR; 2) developing a methodology to evaluate the efficiency of AI solutions; 3) empirically testing the proposed methodology on a sample of companies. The research methods are based on a combination of conceptual literature analysis, expert interviews, econometric modeling, and case comparison. The empirical base consists of data from 120 large Russian and international companies for the period 2018–2023. The results demonstrate that the implementation of AI in recruitment, training and development, and performance management contributes to an 18–25% increase in labor productivity, a 10–15% reduction in employee turnover, and a 20–30% improvement in employee engagement. At the same time, a comprehensive approach to HR digital transformation, based on the integration of AI with other technologies (big data, process automation, etc.), plays a crucial role. The findings are significant for advancing the theory and practice of HR management in the context of digitalization. Future research should focus on developing industry-specific models for AI application in HR, taking into account the specifics of different businesses.
artificial intelligence, human resource management, recruitment, training and development, performance management, HR analytics, digital technologies
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