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Navigating the Future: AI's Strategic Role in HR Management
Abstract
The dynamic nature of today's workplace presents special opportunities as well as challenges for HRM. Natural Language Processing, a branch of artificial intelligence, has the potential to completely transform human resource management (HRM) by means of the use of data-driven decision-making, bias mitigation, employee experience personalization, as well as procedure optimization. The first section of the paper provides an overview of Natural Language Processing application to HRM, with a particular focus on forward-thinking employee turnover prediction, personalized onboarding and training, recruitment automation, in addition to predictive analytics for employee success. There are numerous advantages to incorporating machine learning into HRM, such as objectivity, personalization, automation that reduces costs, and decision-making based on information. With the help of PRISMA technique, secondary data was collected and based upon this data a conceptual framework was established emphasizing the use of NLP in HRM.
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