The Role of AI-Driven HR Systems in Enhancing Employee Performance and Data Security in Modern Organizations

Abstract

This study explores the role of AI-based systems in improving employee performance and data security in human resource management (HRM). The study used a mixed approach with quantitative surveys and qualitative interviews. Surveys were conducted with HR managers, employees, and users of AI-based systems in organizations that have adopted the technology, while in-depth interviews were conducted with HR leaders and technologists. Key findings indicate that AI improves employee performance through reduced administrative tasks, real-time feedback, and AI-based coaching. 82% of respondents reported reduced administrative burden, while 74% felt increased employee responsibility. AI also contributes to improved data security, with 40% of organizations reporting successful AI-based intrusion detection systems. However, challenges such as algorithmic bias and personal data protection remain. Many organizations are implementing AI-based security solutions such as multi-factor authentication and data encryption. The study is limited by its sample size and data bias, so further research is needed to dig deeper into the role of AI across HR functions and develop more secure systems. This study provides important insights for organizations considering the use of AI in HR.