AI in HRM: case study analysis. Preliminary research

Abstract

The article attempts to identify Artificial Intelligence (AI) algorithms in Human Resources Management (HRM) systems focusing particular attention on candidate selection, career building, and predicting employee attrition. The review examines case studies that demonstrate the benefits of AI in HRM, including enhancing employee engagement and satisfaction, improving recruitment processes, supporting decision-making and predicting employee retention. The research indicates that interpretable algorithms, such as decision trees, are frequently used in HRM solutions. The study emphasizes that AI should be viewed as a tool rather than a replacement for human judgment in HRM. Both the review and article highlight the growing trend of AI in HRM systems and the need for further research in this area to fully understand its impact on HRM practices and outcomes.

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