The integration of artificial intelligence in human resource management practices: A review of literature and bibliometric

Abstract

This research explores the integration of artificial intelligence in human resource management (HRM) practices through a bibliometric review of the literature. It is based on the analysis of multiple articles from academic databases, with the aim of examining AI advances in this field. The objective is to understand its impact, identify the benefits it brings to HRM, and analyze the challenges associated with its deployment based on the collected data from Scopus. We used data collected through the SCOPUS database. Using a bibliometric journal approach as the research methodology, we aim to provide an in-depth exploration and understanding of the findings and results found in recent literature on the impact of AI on HRM. The results show that the annual production of research in this field has increased steadily from 2018 to 2024. The most relevant contributions have focused on the study of artificial intelligence and human resources. AI has become an essential tool in organizations’ efforts to promote diversity and inclusion within their workforce. One area where AI has proven effective is in human resource decision-making. AI offers a powerful solution to address biases because it can analyze data impartially and objectively, without being influenced by bias.