AI-DRIVEN HUMAN RESOURCE MANAGEMENT: ENHANCING WORKFORCE DECISIONS THROUGH MACHINE LEARNING INTEGRATION Nihar Ranjan Agasti, Poonam Pachouri, Rajeev Kumar Indoria, Syed Shafique Uddin, Mohit Gangwar Shodhkosh Journal of Visual and Performing Arts, 2026 The evolving landscape of Human Resource Management (HRM) has seen a radical transformation through the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advanced tools are not only automating routine tasks but also reshaping decision-making processes, talent management, performance evaluation, and strategic workforce planning. This paper explores the influence of AI and ML in HRM, examining how their integration enhances efficiency, accuracy, and employee experience. Through data-driven insights, case studies, and current trends, this study investigates the practical applications, challenges, and future potential of AI in managing human capital.
