ABSTRACT:Utilizing a bibliometric analysis approach, this study systematically reviews and retrospectively examines the emerging body of literature on the ethical concerns and implications of incorporating artificial intelligence (AI) into talent acquisition processes. The analysis uncovers the intellectual structure of papers published from 2020 to 2024 on the Scopus database. The research indicates a growing number of articles addressing ethical AI in recruitment, highlighting the increasing demand for studies in this area and the crucial role AI plays in transforming hiring practices. The UK and the United States are leading in research output, reflecting their advanced technological sectors and strong regulatory environments, while research on ethical AI in recruitment remains sparse in Eastern Europe and Africa. The cluster analysis identifies several key topics in ethical AI research within talent acquisition that are interconnected, offering valuable insights for stakeholders aiming to achieve fair and transparent recruitment processes. The findings underscore the importance of addressing algorithmic bias, ensuring transparency, protecting data privacy, and fostering diversity and inclusion. This study underscores the necessity for continuous research and the establishment of robust ethical frameworks to guide the responsible integration of AI in talent acquisition, ensuring that technological advancements are aligned with ethical standards and societal values.

KEYWORDS – Artificial Intelligence, Talent Acquisition, Ethical Concerns, Bibliometric