Artificial Intelligence in Human Resource Management: A Systematic Literature Review and Human-Centered Framework

Abstract

Artificial intelligence (AI) is transforming human resource management (HRM), particularly in areas such as recruitment, performance evaluation, employee development, and job satisfaction. This systematic literature review employs the PRISMA method to synthesise findings from 78 peer-reviewed articles published between 2018 and 2025. AI is making recruitment more efficient, supporting personalized learning, and improving workplace analytics. Still, there are ongoing concerns about transparency, fairness, data privacy, and employee trust. Thematic analysis points to four main trends: better recruitment, more tailored learning, performance evaluations supported by algorithms, and higher employee engagement. While there has been progress, research shows that ethical and governance frameworks are still lacking, especially for long-term employee welfare and sustainable HR management. This study suggests a human-centered approach that balances technical efficiency with inclusivity, equity, and sustainability. The review aims to help both academics and managers by outlining current challenges, identifying gaps, and suggesting directions for future research.