Investigating the Role of Artificial Intelligence in HR Decision-Making Processes

Abstract

This study investigates the role of Artificial Intelligence (AI) in enhancing Human Resource (HR) decision-making processes, specifically focusing on its impact on recruitment efficiency, employee performance evaluation, and bias reduction. Through an ANOVA test, we analyzed the extent of AI’s effectiveness in minimizing human biases and improving the objectivity of HR decisions. The statistical results indicated no significant difference between the groups, with an F-value of 1.1129, lower than the critical F-value of 3.8519, and a p-value of 0.2917, exceeding the 0.05 significance level. Consequently, we accepted the null hypothesis, concluding that AI's implementation does not significantly reduce biases in HR decision-making. These findings suggest that while AI holds promise in theory for improving fairness and objectivity, its practical effectiveness may be limited. The study emphasizes the need for further exploration into AI's application in HR, as well as the importance of careful oversight to ensure fairness and transparency in decision-making processes. Ultimately, AI alone may not suffice to address biases, highlighting the necessity for additional interventions and refinements in HR practices.