International Journal of Academic Pedagogical Research (IJAPR)

Title: Artificial Intelligence and Corporate Governance: Revolutionizing Oversight, Decision-Making, and Accountability

Authors: Ibikunle Jide

Volume: 8

Issue: 9

Pages: 108-119

Publication Date: 2024/09/28

Abstract:
This research evaluates the transformative impact of Artificial Intelligence (AI) on corporate governance, emphasizing how AI technologies are revolutionizing oversight, decision-making, risk management, and accountability. AI advancements, such as machine learning and big data analytics, offer more precise insights and improved efficiency in governance processes. The study begins with an overview of corporate governance role in ensuring accountability and sustainability, followed by an examination of AI growing integration into business processes. The theoretical framework incorporates Agency Theory, which explains how AI enhances monitoring and mitigates agency problems between shareholders and management; Resource Dependency Theory, which views AI as a resource for improving information flow and decision-making; and Stakeholder Theory, which focuses on how AI balances stakeholder interests and increases transparency. Key AI applications discussed include AI-driven decision support systems, risk management, fraud detection, and predictive analytics, which improve board-level decisions, identify risks, and help set strategic goals. AI role in regulatory compliance is also addressed, showing how AI automates reporting and streamlines regulatory processes. The study examines the evolving need for board members with technological expertise and the potential for AI-assisted board evaluations to assess performance and governance gaps. Further, AI impact on shareholder engagement is explored, showing how it facilitates more personalized communication and enhances data-driven voting processes. Case studies from various industries, including finance and technology, illustrate the successful integration of AI into corporate governance frameworks. Challenges such as algorithmic bias, transparency issues, and over-reliance on AI are critically examined. The study concludes with recommendations for policymakers and organizations, emphasizing the importance of ethical AI use, human oversight, and robust policy frameworks to ensure responsible AI implementation in governance. Balancing AI benefits with ethical considerations is crucial to ensuring transparency and accountability in corporate governance. This study provides valuable insights for the future of corporate governance, offering practical guidance on effectively integrating AI into governance structures.

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