This research offers a comprehensive analysis of the primary topics and understandings concerning artificial intelligence (AI) from the standpoint of human resource management (HRM). It emphasizes the influence of AI on diverse HR procedures, including recruitment, workforce administration, employee growth, performance evaluation, and ethical deliberations. This dissertation explores the profound impact of Artificial Intelligence (AI) on Human Resource Management (HRM). The integration of AI technologies has revolutionized traditional HR methods, leading to improved efficiency and strategic insights. The discussion begins by examining how AI automates mundane HR tasks, streamlining workflows and allowing HR professionals to focus on strategic initiatives. It underscores the significance of maintaining a harmonious equilibrium between automation and human supervision to guarantee equitable and transparent decision-making. Additionally, the study investigates how AI enhances talent acquisition by refining recruitment processes, identifying top candidates, and reducing biases. A significant portion of the analysis focuses on the use of AI in employee engagement and performance management. AI's ability to analyze data and sentiments proves invaluable in creating a positive and productive organizational environment. The ethical considerations surrounding AI implementation in HRM are thoroughly examined, emphasizing the importance of responsible practices to maintain integrity, fairness, and trust.