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International Journal of
Law
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VOL. 12, ISSUE 1 (2026)
Legal aspects of artificial intelligence in business decision-making
Authors
Aafreen Khan, Afreen, Dr. Garima Yadav
Abstract

Artificial Intelligence (AI) has rapidly transformed business decision-making by enabling organizations to analyze large datasets, predict outcomes, automate processes, and enhance strategic planning. AI technologies such as machine learning, natural language processing, and predictive analytics are now widely used in finance, human resource management, marketing, operations, and corporate governance. While AI improves efficiency and accuracy, its increasing autonomy in decision-making raises complex legal and ethical concerns.

The traditional legal framework governing business activities is primarily based on human decision-makers. However, AI-driven decisions challenge existing doctrines related to liability, accountability, transparency, data protection, and corporate governance. Issues such as algorithmic bias, lack of explainability, data misuse, and difficulty in assigning responsibility necessitate a comprehensive legal examination. This research paper seeks to analyze the legal implications of AI-driven business decision-making and assess whether existing laws are adequate to address these emerging challenges.
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Pages:215-218
How to cite this article:
Aafreen Khan, Afreen, Dr. Garima Yadav "Legal aspects of artificial intelligence in business decision-making". International Journal of Law, Vol 12, Issue 1, 2026, Pages 215-218
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