Predicting Employee Turnover with Explainable AI
摘要
Remaining sustainable and healthy as a business today hinges on accurately projecting employee attrition. This paper explores the use of Explainable AI (XAI) as a tool for turnover prediction, highlighting the need of transparency and trust in AI-driven HR decisions. Unlike traditional black-box algorithms, XAI offers interpretable insights that match human knowledge, assisting HR managers in turning projections into workable plans. By breaking down the prediction process and providing practical applications, this study demonstrates how XAI may be incorporated into regular HR operations to enhance decision-making and employee retention. It addresses the ethical and legal concerns that artificial intelligence in HR brings up and recommends using XAI to ensure fairness and lessen discrimination. According to the paper, artificial intelligence will eventually allow HR professionals to integrate technology and human expertise to create a more proactive and responsive HR department.