Abstract
The fast-moving introduction of Artificial Intelligence to Human Resource Management has both provided revolutionary opportunities in HR analytics, talent management, and intelligent decision-making, as well as posed major ethical, governance, and transparency issues that need to be evaluated systematically. Although the use of AI-powered HR solutions becomes more widespread, the literature on AI-based system remains scattered in different areas, including predictive workforce analytics, algorithmic recruiting, employee experience analytics, and responsible AI models, and it is hard to see the impact of Artificial Intelligence on HRM on organizational performance and responsible management in general. To fill this gap, this paper provides a literature review with the PRISMA framework to extract the recent research on the topics of HR analytics, talent analytics, Ethical AI, and data-driven HRM. The review is conducted on the topic of AI-driven recruitment, predictive HR analytics, workforce analytics, intelligent talent systems, and AI governance in HR. The focus is laid on the following emerging themes explainable AI, algorithmic bias, responsible AI, human-AI collaboration, and sustainable HRM as the most recent trends in digital HRM and people analytics. The results suggest that AI-powered HR analytics can greatly improve talent recruitment, performance analysis, human resources planning, and employee experience using machine learning, automation, and intelligent decision support, and simultaneously raise concerns about fairness, accountability, privacy, and transparency. Ethical AI, trusted AI, and governance principles are found to be key facilitators of the sustainability of smart HR systems adoption.
