Corporate Governance in the Age of AI: Ethical Oversight and Accountability Frameworks

Abstract

The rise of Artificial Intelligence (AI) in business operations has redefined traditional models of corporate governance. As AI systems increasingly participate in critical decision-making processes, the need for robust ethical oversight and accountability frameworks has become paramount. This paper explores the intersections of AI technologies and corporate governance principles, aiming to highlight both the opportunities and challenges that arise in this evolving digital landscape. We delve into how AI can enhance transparency, streamline regulatory compliance, and improve decision accuracy, while simultaneously posing ethical concerns related to bias, accountability, data privacy, and control. The paper also evaluates existing frameworks for ethical AI governance, such as OECD Principles on AI, EU’s AI Act, and ISO standards, drawing comparisons with corporate governance standards like the OECD Corporate Governance Principles and national codes. Through comprehensive analysis and data-driven insights, we propose a dynamic governance model that integrates ethical AI practices within the corporate governance structure. Graphs, tables, and a conceptual diagram illustrate the maturity stages of AI integration in governance systems, stakeholder accountability models, and risk-management frameworks. This review contributes to the growing discourse on AI governance by offering strategic recommendations and emphasizing the role of board leadership, interdisciplinary ethics committees, and regulatory collaboration.