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Artificial intelligence (AI) is increasingly transforming human resource management through applications in recruitment, employee evaluation, workforce analytics, talent management, and organizational decision-making. However, the growing use of AI in employment-related processes has also raised concerns regarding algorithmic bias, transparency, privacy, accountability, and regulatory compliance. This review aims to examine the future of HR governance by integrating AI ethics, risk management, and regulatory compliance within the context of global organizations. A structured literature review was conducted using relevant publications obtained from major academic databases, including Scopus, Web of Science, IEEE Xplore, ScienceDirect, and Google Scholar. The review focused on research addressing AI governance, responsible AI, HR risk management, algorithmic accountability, human oversight, and regulatory frameworks. The findings indicate that effective AI-driven HR governance requires an integrated approach combining ethical principles, lifecycle-based risk assessment, transparent decision-making, human oversight, data protection, and continuous compliance monitoring. The review also identifies fragmented governance practices and a lack of HR-specific frameworks as important research gaps. In conclusion, responsible AI governance should become a strategic component of modern HR management, enabling global organizations to balance technological innovation with employee rights, organizational accountability, and sustainable regulatory compliance.