Artificial Intelligence and Corporate Governance: A Review of Recent Literature

Abstract

This literature review examines the impact of AI on corporate governance through analysis of 28 peer-reviewed articles published between 2020 and 2024, identified via Google Scholar, Web of Science and Scopus. Four dimensions structure the analysis: the transformation of governance processes through AI-driven automation; the evolution of governance structures and the redefinition of roles between human decision-makers and autonomous systems; the ethical challenges associated with algorithmic bias and data privacy; and the regulatory implications of increasingly autonomous corporate AI.
The findings reveal a dual dynamic. AI demonstrably enhances decision-making quality, audit effectiveness, financial transparency and organizational resilience, while simultaneously introducing significant risks, including the perpetuation of systemic biases, the erosion of legal accountability and the inadequacy of existing regulatory frameworks originally designed for human actors. Persistent gaps in the literature are also identified, notably the scarcity of longitudinal studies and the under-representation of developing economies.
This review concludes that navigating the AI transition in corporate governance requires a balanced approach integrating technological innovation with robust ethical principles and adaptive regulatory frameworks, ensuring that efficiency gains do not come at the expense of fairness, transparency and accountability.