Intelligent Management of Human Capital

Intelligent Management of Human Capital

Managing Ethical Dilemmas of AI in HRM: A Meta-Synthesis Toward an Integrative Framework

Document Type : Original Article

Authors
Mohammad Pedrami 1
Seyed Kamal Vaezi 2
1 MSc., Department of Leadership and Human Capital, Faculty of Public Management and organizational Science, College of Management, University of Tehran, Iran.
2 Associate Prof., Department of Leadership and Human Capital, Faculty of Public Management and organizational Science, College of Management, University of Tehran, Iran.
10.22034/imhr.2025.527039.1029
Abstract
Background and Objective: This research aims to identify, analyze, and synthesize strategies for addressing ethical challenges in the application of artificial intelligence in human resource management.
Methodology: A meta-synthesis method was employed to conduct a systematic study on credible international scientific sources. From an initial pool of 113 articles, 27 high-quality articles were ultimately selected and deeply analyzed. Thematic analysis was conducted to identify main themes, and Shannon entropy technique was applied to rank and determine the relative importance of themes.
Findings: Three main themes were identified: "Systematic Digital Ethics Infrastructure" (including AI ethical governance mechanisms, technical infrastructure for algorithmic quality assurance, and integrated systems for sensitive data protection), "Human-Centered Capability Development Mechanisms" (including approaches to empowerment and digital capability development, and human-centered participatory decision-making framework), and "Mechanisms for Ensuring Justice and Systemic Accountability" (including mechanisms for promoting algorithmic justice and inclusivity, and systematic transparency and accountability mechanisms). The calculated total entropy (0.9156) confirmed a balanced distribution and appropriate dispersion of themes.
Conclusion: The research presents a comprehensive framework for ethical challenges of artificial intelligence in human resource management, emphasizing human-centered participatory decision-making framework, technical infrastructure for algorithmic quality assurance, and mechanisms for promoting algorithmic justice as the most important solutions. This framework, focusing on intelligent human-machine collaboration, enables ethical utilization of artificial intelligence in human resources.
Keywords
Artificial Intelligence
Human Resource Management
Digital Ethics
Meta-Synthesis
Algorithmic Justice

Subjects

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