Intersection between human resource management and artificial intelligence

Abstract

The central thesis of this study is intersection between human resource management and artificial intelligence. The integration of Artificial Intelligence (AI) in Human Resource Management (HRM) has sparked intense debate among scholars and practitioners. Contrary to prevailing concerns, this research opines that organizations who integrate AI in HRM do not experience significant challenges and limitations. Effective implementation strategies and proactive measures mitigate potential issues. Methodologically, the researcher made use of documentary sources which is also known as “Secondary Sources” from related literature on the subject of our study By documentary sources, we mean any written material (whether hand-written, typed or printed) that is already in existence, which was produced for other purpose than the benefit of the investigator. The study which found out among others that AI integration requires proactive strategies to address bias, transparency and job displacement concerns also recommends among others that Human resource consultants should develop AI-driven HR analytics capabilities to inform strategic decision-making and drive business outcomes. The study concludes that the intersection between Human Resource Management (HRM) and Artificial Intelligence (AI) heralds a transformative era in organizational dynamics. AI's integration into HRM streamlines processes, enhances efficiency and accuracy, and informs strategic decision-making. Predictive analytics, machine learning and natural language processing enable personalized learning experiences, automated recruitment and talent management, and data-driven insights.