Abstract

In recent years, the integration of artificial intelligence and machine learning technologies has transferred various sectors, and corporate governance is no exception. This paper explores the profound impact that artificial intelligence and machine learning have corporate governance practices, focusing on decision-making processes, risk management, compliance, and board operations. With artificial intelligence ability to analyse vast amounts of data and generate predictive insights, organizations are better equipped to make informed, data-driven decisions, enhancing transparency and accountability in corporate structure. The research highlight both the opportunities and challenges posed by artificial intelligence and machine learning in corporate governance, offering a comprehensive understanding of their role in shaping the future of corporate leadership and accountability. The paper also proposes guidelines for integrating these technologies in a manner that aligns with ethical standards and regulatory frameworks. The study explores how AI-powered tools, such as predictive analytics, automated compliance systems, and intelligent monitoring mechanisms, are revolutionizing corporate governance processes. These technologies allow for real time performance tracking, efficient fraud detection, and proactive risk identification. Ultimately increasing the accountability of corporate boards and management. Furthermore, artificial intelligence and machine learning algorithms have the potential to improve shareholders engagement by providing deeper insights into corporate performance and governance practices. In addition, the research emphasizes the importance of maintaining human oversight and ensure that AI systems align with established corporate governance principles, including fairness, accountability, and responsibility.

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