AI-DRIVEN CORPORATE GOVERNANCE: A GLOBAL PERSPECTIVE ON IMPLEMENTATION AND EFFECTIVENESS

Abstract

Artificial intelligence (AI) is transforming corporate governance by reshaping decisionmaking, risk management, and strategic oversight in organizations worldwide. This study examines the global implementation of Al-driven corporate governance, analyzing its effectiveness in different regulatory and economic environments. Through a cross-country comparative analysis, we investigated Al-driven management practices in leading Al economies (USA, China, and the EU) and emerging markets (Kazakhstan, Southeast Asia, and Latin America), identifying key trends, commonalities, and divergences in Al integration. The findings suggest that Al adoption in corporate governance enhances decision-making efficiency, regulatory compliance, and strategic foresight. However, significant variations exist due to differences in technological infrastructure, regulatory environments, workforce capabilities, and cultural influences. Empirical research demonstrates Al's positive impact on corporate governance through its ability to automate compliance processes, reduce financial reporting errors, enhance transparency, and minimize human biases in decision-making. Nevertheless, challenges remain, particularly regarding ethical concerns, algorithmic accountability, and Al's potential to reinforce biases. This research provides critical insights for business leaders, policymakers, and technology stakeholders aiming to leverage Al for enhanced governance structures, strategic innovation, and improved economic performance. As Al continues to redefine business landscapes, fostering collaborative Al governance models, knowledge-sharing networks, and regulatory harmonization across economies will be essential to ensuring sustainable, ethical, and effective Al integration in corporate governance worldwide.