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Copyright In The Age Of AI Innovation: A Comparative Legal Review Of The US, EU, And India

Updated: Apr 27




Nehla Nazer, LLM Student, School of Legal Studies, REVA University, Bengaluru

Dr. Nagaraja V, Professor, School of Legal Studies, REVA University, Bengaluru


ABSTRACT


The intersection of artificial intelligence (AI) and copyright law has become a critical area of debate as AI systems increasingly generate creative works that rival human authorship. This comparative analysis explores the evolving legal frameworks governing artificial intelligence (AI) and copyright in the United States, European Union, and India. The study examines how each country handles issues, including authorship, copyrightability, and the usage of copyrighted resources in AI training that arise from AI-generated content. While the EU takes on a comprehensive regulatory strategy through its AI Act, focused on protecting writers' rights globally, the US emphasizes human authorship as a necessity for copyright protection. India claims that its existing intellectual property framework is adequate to handle copyright concerns pertaining to AI. The analysis highlights the need for ongoing debate concerning potential international harmonization by exposing the ramifications of these disparate methods for the growth of AI globally, the creative industries, and intellectual property rights.


Keywords: Copyright law, Artificial intelligence (AI), Intellectual property rights, AI-generated content, Global regulations, United States, European Union, India.



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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