The rapid advancement of artificial intelligence (AI) and automation is reshaping workforce dynamics, fundamentally altering traditional human resource management (HRM) practices. This paper explores the transformative role of AI-driven technologies in HRM, focusing on recruitment, employee engagement, talent management, and performance evaluation. AI-powered tools enhance efficiency by automating repetitive tasks, enabling data-driven decision-making, and optimizing workforce planning. Machine learning algorithms streamline talent acquisition by analyzing vast candidate pools, ensuring a more precise and unbiased selection process. Additionally, AI-driven analytics facilitate personalized employee experiences, fostering engagement and retention. The integration of automation in HRM not only reduces operational inefficiencies but also augments strategic HR functions, allowing professionals to focus on fostering a people-centric work culture. However, the implementation of AI in HRM presents challenges, including ethical concerns, data privacy risks, and potential biases in algorithmic decision-making. This paper highlights key innovations, potential risks, and strategies for ensuring responsible AI adoption in HR. By reviewing recent literature and industry trends, this study provides a comprehensive understanding of how AI and automation are redefining HRM, emphasizing the balance between technological advancements and human-centric approaches. The findings suggest that while AI enhances HR efficiency, its success depends on ethical deployment, transparency, and continuous human oversight. As organizations navigate this evolving landscape, the role of HR professionals is shifting toward data-driven decision-making and strategic workforce planning. This paper underscores the importance of integrating AI responsibly to maximize its benefits while mitigating potential risks, ultimately fostering a more agile and adaptive workforce. [ABSTRACT FROM AUTHOR]

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