Abstract
In the context of rapid advancements in artificial intelligence (AI), its pervasive impact across industries extends to Human Resource Management (HRM), redefining workforce management paradigms. This systematic literature review addresses the intersection of AI and HRM, elucidating AI-driven tools and techniques that optimize recruitment, performance management, and employee engagement. Rooted in the recognition that conventional HRM approaches can be time-intensive and biased, AI's integration promises to enhance decision-making efficiency and accuracy. This review, guided by research questions, explores prevalent AI applications, evaluates statistical evidence of their impact, and engenders discussions on implications. Through methodological rigor, this review critically synthesizes diverse scholarly perspectives. It provides insights into AI's multifaceted role, en-compassing candidate screening, personalized training, real-time performance assessment, and engagement enhancement. Next, it furnishes statistically derived trends from selected studies, revealing adoption rates, prevalent techniques, and sector-specific implementations.
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