Artificial Intelligence in Talent Acquisition and Workforce Analytics: A Bibliometric Study of Ethical and Data-Driven Recruitment

Artificial intelligence (AI) is increasingly transforming talent acquisition and workforce analytics, raising both efficiency opportunities and ethical concerns. This study aims to map the intellectual structure and evolution of AI-enabled recruitment research with a focus on ethical and data-driven approaches. A bibliometric analysis was conducted on 1893 Scopus-indexed journal articles published between 2014 and 2025 using VOSviewer. The results reveal rapid growth in the field, dominant thematic clusters spanning machine learning applications, HR analytics, and ethical governance, and strong international collaboration led by the United States, China, and the United Kingdom. Findings also highlight the increasing prominence of fairness, transparency, and explainability within AI recruitment research. The study concludes by identifying research gaps and proposing future directions for integrating ethical AI frameworks with workforce analytics to support responsible talent acquisition.