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Research Paper Volume 9 Issue 2 1858 - 1868 April 15, 2026

Artificial Intelligence in Corporate Governance: An Analysis

Lead author · Corresponding
Kapil Chaprana
Student at ICFAI Law School, The ICFAI University, Dehradun, Uttarakhand, India
Co-author
Dr. Suneel Kumar
Assistant Professor at ICFAI Law School, The ICFAI University, Dehradun, Uttarakhand, India
Abstract

The blistering development of artificial intelligence has essentially changed the framework of economic, social, and regulatory organizations all over the world. From predictive analytics in financial markets to automated decision-making within public administration, machine-learning technologies have moved beyond experimental stages to become integral components of governmental infrastructure. Such changes in technology have inevitably permeated the field of corporate governance and changed the nature of corporate management, monitoring and regulation. While AI offers unprecedented insights, speed, and efficiency, it also raises questions about bias, accountability, transparency, and trust. As governance frameworks evolve, striking the right balance between innovation and oversight becomes essential. This article discusses concept on how artificial intelligence is transforming corporate governance and what Changes it has introduced in corporate sector. The study explores the director’s liability, specific regulations for the use of AI, Types of AI, evolution of corporate governance and the benefits of AI-driven governance.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 9, Issue 2, Page 1858 - 1868
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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