EMPLOYEE ATTITUDE TOWARDS ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE PROCESSES: HIRING AND APPRAISAL

Abstract

The integration of artificial intelligence (AI) into human resource management has transformed traditional practices such as hiring and performance appraisal. This study explores employee attitudes toward the use of AI in these processes, focusing on perceptions of fairness, transparency, and trust. A mixed-methods design was adopted, combining quantitative and qualitative approaches. Data were collected through surveys and interviews with employees across diverse organizational settings. Findings reveal a mix of optimism and skepticism: while many employees appreciate AI’s potential to reduce bias, enhance efficiency, and streamline decision-making, concerns persist regarding data privacy, lack of human judgment, and the possibility of algorithmic discrimination. The study highlights that employee acceptance of AI in HR processes is strongly influenced by organizational communication, the degree of human oversight, and the perceived ethical use of technology. These insights suggest that successful adoption of AI in hiring and appraisal requires balancing technological efficiency with human empathy, ensuring that employees view AI as a supportive tool rather than a replacement for human decision-making.