The research aims to define the contribution of big data and AI technologies to socially responsible HRM and develop recommendations for improving the practice of intelligent support in personnel decision-making using these technologies. The authors examine WIPO statistics for Central Asian countries in 2023. The authors developed regression models to reveal the causal relationships of using these technologies in enterprise personnel decision-making in Central Asia in 2023. The theoretical significance of these models lies in their ability to enhance the predictability of HR management automation in Central Asia. The authors conclude that big data and AI technologies increase the effectiveness of socially responsible HRM by creating knowledge-intensive jobs and promoting gender neutrality in labor. A forecast for the development of socially responsible HRM through the expanded use of ICT is made using the Kyrgyz Republic as an example. Its practical significance is that it can serve as a roadmap for the socially-oriented development of the labor market in the Kyrgyz Republic. A mechanism for intelligent support in personnel decision-making in socially responsible HRM using big data and AI has been developed. The managerial significance of this mechanism is that it will enable the rationalization of HR management practices.