AI-Driven HR Governance in Global Organizations: Integrating Ethical Intelligence, Risk Management, and Regulatory Compliance
TL;DR
The review indicates that effective AI-driven HR governance requires transparent algorithms, human oversight, ethical accountability, bias mitigation, data protection, continuous risk assessment, and alignment with evolving regulatory requirements.
Abstract
Background: The rapid adoption of artificial intelligence (AI) in human resource management has transformed recruitment, employee evaluation, workforce analytics, and decision-making. However, the growing use of AI also introduces ethical concerns, algorithmic bias, privacy risks, accountability challenges, and increasing regulatory obligations across global organizations. Objective: This study examines the emerging role of AI-driven HR governance and explores how AI ethics, organizational risk management, and regulatory compliance can be integrated into a comprehensive governance framework for global organizations. Review Methodology: The study adopts a structured review methodology, synthesizing relevant scholarly literature, AI governance frameworks, HR management research, ethical principles, and regulatory perspectives. The review identifies major themes, governance mechanisms, risk factors, and compliance challenges associated with AI-enabled HR practices. Key Findings: The review indicates that effective AI-driven HR governance requires transparent algorithms, human oversight, ethical accountability, bias mitigation, data protection, continuous risk assessment, and alignment with evolving regulatory requirements. An integrated governance approach can improve organizational trust, responsible innovation, and regulatory preparedness. Conclusion: AI governance should become a strategic component of modern HR management. Integrating ethics, risk management, and regulatory compliance can help global organizations develop responsible, transparent, and sustainable AI-enabled HR systems.