Published Paper Details:

Abstract This comprehensive study investigates the growing influence of Artificial Intelligence (AI) on Human Resource Management (HRM), focusing on its transformative role in reshaping traditional HR functions and redefining the strategic positioning of HR professionals. As organizations across industries embrace digital transformation, AI emerges as a catalyst for enhancing efficiency, accuracy, and strategic foresight in HR operations. Key areas of AI impact explored in this paper include recruitment and selection, performance appraisal, employee engagement, learning and development, and workforce analytics. Through a quantitative research design, data was gathered from 20 HR professionals with varying levels of experience, using a structured questionnaire. The results were analyzed using descriptive statistics, correlation, and regression techniques. Findings reveal a generally positive perception of AI among HR professionals, particularly among those with 0-5 years of experience, while also highlighting ethical concerns, the need for upskilling, and limitations in AI's ability to replicate human intuition and empathy. Regression analysis confirmed that experience level does not significantly alter AI perception, indicating a uniform necessity for AI-related competency development across the HR spectrum. This study contributes to academic literature and industry practice by offering a detailed analysis of AI's benefits--such as reduced administrative burden, improved decision-making, and enhanced strategic focus--as well as potential challenges, including algorithmic bias, data privacy concerns, and resistance to change. It concludes with actionable recommendations for ethical AI adoption, upskilling initiatives, and establishing collaborative human-AI systems to support sustainable HR transformation. The paper underscores the importance of maintaining a human-centric approach while integrating advanced technologies in HR, calling for balanced governance that aligns AI capabilities with organizational values and employee well-being. It also proposes future research areas including AI's role in diversity and inclusion, mental health monitoring, and cross-industry comparative analyses.