AI Adoption and Corporate Governance: Challenges, Opportunities, and Best Practices

Abstract The rapid advancement of artificial intelligence (AI) has transformed the corporate landscape, creating opportunities for innovation while simultaneously introducing unprecedented risks. As AI systems become integral to decision-making processes, corporate boards and governance frameworks must evolve to ensure ethical, legal, and strategic oversight. This paper examines the intersection of technological governance and AI from a corporate governance perspective, emphasizing the roles, responsibilities, and accountability mechanisms required for effective AI management. The study highlights that AI governance is not merely a technical issue but a strategic imperative that impacts risk management, compliance, stakeholder trust, and long-term organizational sustainability. By reviewing current corporate governance models and emerging AI regulatory frameworks, the paper identifies critical gaps in board expertise, policy formulation, and monitoring mechanisms. Furthermore, it proposes a conceptual model that integrates AI risk assessment, ethical guidelines, transparency, and stakeholder engagement into corporate governance practices. Methodologically, this research employs a qualitative approach, including literature review, case analysis of leading corporations implementing AI governance frameworks, and expert interviews with board members and technology officers. Findings suggest that successful AI governance requires a multi-dimensional approach combining board-level strategic oversight, robust internal control systems, and continuous ethical evaluation of AI applications. The study concludes by providing actionable recommendations for boards to enhance technological governance, including training for directors, creation of specialized AI committees, and alignment with emerging regulatory standards. By bridging the gap between corporate governance and AI oversight, this paper contributes to the evolving discourse on responsible and sustainable technological adoption in corporate settings.