Paper Contents
Abstract
The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is rapidly transforming traditional HR practices, offering new opportunities for efficiency, personalization, and strategic decision-making. This paper presents a comprehensive review of existing literature on the application of AI in various HR functions, including talent acquisition, performance management, employee engagement, learning and development, and workforce analytics. Drawing on interdisciplinary sources, the study identifies key technological trends, implementation challenges, and ethical considerations associated with AI adoption in HRM. Furthermore, it highlights the evolving role of HR professionals as they navigate the shift toward data-driven and AI-augmented practices. The review culminates in the development of a future research agenda that emphasizes the need for empirical studies, cross-cultural analysis, responsible AI frameworks, and the long-term impact of AI on employee experience and organizational culture. By synthesizing current insights and proposing strategic pathways, this paper aims to guide scholars and practitioners in leveraging AI to create more adaptive, inclusive, and high-performing HR systems.
Copyright
Copyright © 2025 Dr. V.Tamilarasu. This is an open access article distributed under the Creative Commons Attribution License.
