Artificial Intelligence Policy Frameworks and Their Impact on Human Resource Decision-Making

This paper examines how artificial intelligence (AI) policy frameworks influence human resource (HR) decision-making within the context of organizational strategy and business policy. Drawing from Institutional Theory and the Resource-Based View, it conceptualizes how governance structures, ethical guidelines, and regulatory compliance shape AI-driven HR processes such as recruitment, performance evaluation, and workforce analytics. The study highlights that structured AI policy frameworks enhance fairness, transparency, and strategic alignment while mitigating ethical and legal risks. However, evidence from emerging economies like Nigeria reveals weak governance capacity and fragmented policy adoption. The paper concludes that embedding AI policy frameworks into HR strategy strengthens accountability, promotes responsible innovation, and provides a sustainable competitive advantage for organizations operating in data-driven environments.