ARTIFICIAL INTELLIGENCE–DRIVEN CORPORATE GOVERNANCE: DATA-BASED DECISION MAKING AND RISK MANAGEMENT

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Authors: Otamurod Ruziboev
Cited by: 0

Abstract

This article examines the role of artificial intelligence in modern corporate governance, with a focus on data-based decision making and risk management. Artificial intelligence technologies such as machine learning, big data analytics, and predictive modeling significantly enhance the effectiveness of corporate boards and executive management. The study analyzes how AI improves transparency, reduces agency problems, strengthens internal control systems, and supports proactive risk identification. The findings indicate that AI-driven corporate governance increases organizational resilience and contributes to sustainable long-term value creation.

Fields of Study & Subjects

Corporate Governance and Financial Management Impact of AI and Big Data on Business and Society Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 February 2026