Research-inspired editorial · 2026-11-07
Ethical Artificial Intelligence in Human Resource Management: A Bibliometric Review
Author: WEBU
Modern workplaces face rapid digital transformation driven by artificial intelligence. A new study published in Discover Sustainability offers deep insights into how human resource management integrates ethical AI principles to achieve sustainable development goals.
Introduction
The contemporary work environment is undergoing fundamental shifts as artificial intelligence becomes a standard part of daily operations. Along with technological advancements come significant ethical challenges, particularly within human resource management where decisions impact careers and employee wellbeing.
Authors Rahmanwali Sahar and Munjiati Munawaroh focus their research on connecting ethical artificial intelligence with sustainable workplace practices. Their work provides a valuable perspective on the theoretical and practical hurdles organizations encounter when adopting advanced tools.
What the study examined
According to the abstract, the study explores the evolving role of human resource management in managing ethical artificial intelligence to support sustainable development goals in workplaces. The researchers applied a mixed-methods approach combining bibliometric and literature review methodologies.
According to the abstract, the analysis relied on Scopus-indexed literature. The bibliometric component examined publication trends, country and institutional contributions, keyword co-occurrence, and co-authorship networks among scholars worldwide.
Findings and interpretation
According to the abstract, the analysis revealed increasing academic interest in the intersection of HRM, AI ethics, and sustainability, with significant contributions from India, China, the United States, the United Kingdom, and Romania. Leading affiliations included Symbiosis International Deemed University and the University of Delhi.
According to the abstract, keyword co-occurrence highlighted central themes such as human resource management, artificial intelligence, decision-making, ethical technology, and predictive analytics. Co-authorship analysis showed moderate research collaboration indicating potential for global networking.
Methodology and limitations
The methodology, as noted in the abstract, merged bibliometric analysis with a systematic literature review. The literature review component examined conceptual insights and practical directions derived from highly relevant scholarly publications.
However, the abstract explicitly outlines key limitations. The study relies solely on Scopus-indexed publications, which may omit relevant studies from other databases or non-English literature. Additionally, the bibliometric approach may not capture qualitative dimensions like contextual or industry-specific implementation challenges.
WEBU practical proposal
From our WEBU editorial perspective, this study offers practical considerations for small business owners, web designers, and digital marketers. When utilizing algorithms for recruitment, customer segmentation, or automated marketing campaigns, organizations must ensure transparency and algorithmic fairness to protect consumer rights.
Web developers and marketers should embed digital inclusivity principles and rigorously audit datasets fed into analytical systems. Based on editorial recommendations, small businesses should establish clear internal governance guidelines regarding how AI tools process customer and employee data.
Conclusion
According to the abstract, human resource management is evolving from an administrative function into a strategic player guiding the ethical deployment of AI technologies in recruitment, performance management, and organizational development. Recommendations urge HR to act as an ethical gatekeeper.
Future research should incorporate broader datasets and empirical case studies, according to the abstract, to deepen the understanding of ethical AI practices across diverse organizational contexts and foster truly sustainable workplaces.
Scientific sources
Rahmanwali Sahar, Munjiati Munawaroh (2026). Ethical Artificial Intelligence in human resource management for sustainable workplaces a bibliometric and literature review. Discover Sustainability. https://doi.org/10.1007/s43621-026-04806-1 https://doi.org/10.1007/s43621-026-04806-1