Author
Listed:
- Khosravitanak, Mohammad
(Department of Education Sciences, Faculty of Education and Psychology, Birjand University, Iran.)
- Pourshafei, Hadi
(Department of Education Sciences, Faculty of Education and Psychology, Birjand University, Iran.)
Abstract
Purpose: The present study aimed to identify and classify the ethical challenges arising from the application of artificial intelligence (AI) in human resource management (HRM). The focus of the research was on examining the relationship between AI-based technologies and the ethical dimensions of HRM. Methodology: This study adopted a qualitative approach using the method of "research synthesis." Data were collected through documentary analysis, covering domestic studies from 2020 to 2025 (1399–1404 in the Iranian calendar) and international studies from 2020 to 2025. Keywords such as "ethical challenges," "artificial intelligence," and "human resource management" were searched in national and international databases. After screening, twenty eight final sources were selected for analysis, and data were examined using thematic analysis. Findings: The results reveal four major ethical challenges, namely “bias and discrimination,” “privacy,” “transparency,” and “accountability.” The analysis indicates that successful and human-centered use of AI in HRM requires adherence to principles of justice, privacy protection, transparent decision-making, and organizational accountability. Originality: By systematically categorizing the ethical challenges of AI in HRM, this study contributes theoretically, thereby extends the discussion on AI ethics within the human resource domain. From a practical perspective, the findings provide guidance for managers and policymakers to align their AI-driven decisions with ethical considerations. Recommendations: Based on the findings, it is recommended that organizations develop clear and integrated ethical frameworks when applying AI in HRM.
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