Talent Governance in the Age of Autonomous AI Agents: Who Owns Decisions in Hybrid Human–Machine Leadership Structures?

This groundbreaking research paper delves into the emerging challenges of integrating autonomous AI agents into HR leadership and strategy formulation. Titled "Talent Governance in the Age of Autonomous AI Agents: Who Owns Decisions in Hybrid Human–Machine Leadership Structures?", it examines accountability, governance, and decision ownership in hybrid human-AI systems. The paper introduces an original, unpublished framework—the Hybrid Accountability Nexus (HAN)—which provides a network-based model for distributing responsibilities across human leaders, AI agents, and stakeholders. Through a comprehensive literature review, conceptual development, and practical implications, it offers actionable insights for HR professionals, organizations, and policymakers to navigate ethical risks, enhance transparency, and optimize strategic outcomes in AI-augmented workplaces. Spanning 7-8 pages, this work positions AI as symbiotic partners in talent governance, filling a critical gap in current scholarship.