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Artificial Intelligence And Machine Learning: Emerging Legal Issues For Businesses




Vaishali, LL.M, National Law University, Odisha

ABSTRACT

Artificial intelligence (AI) and machine learning (ML) have rapidly emerged as transformative technologies that are revolutionizing various industries, including healthcare, finance, and transportation. While AI and ML offer significant benefits, such as increased efficiency and accuracy, they also pose significant legal challenges. The potential for bias and discrimination in AI and ML systems has raised concerns about fairness and equal treatment, while legal liability issues have become more complex as AI and ML are integrated into critical decision-making processes.

This article will explore the legal implications of the use of AI and ML in various industries, including the potential for bias and discrimination and the resulting legal liability. It will examine the existing legal framework in India and other jurisdictions, and analyze the impact of AI and ML on various areas of law, such as intellectual property, privacy, and torts. Additionally, it will discuss the measures that companies and regulators can take to mitigate the legal risks associated with AI and ML, and ensure that these technologies are deployed in a manner that is fair, ethical, and legally compliant.

Keywords: Artificial intelligence, machine learning, decision-making processes, intellectual property, privacy, torts, human rights, legal liability, government, technologies.

Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing:

​All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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