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Generative Artificial Intelligence Vis-A-Vis Intellectual Property Rights




Shubhi Jain, Amity Law School, Noida


ABSTRACT


Over the past couple of decades, technology has expanded at a previously unseen rate. In a span of a couple of decades, advancements that were so hard to imagine that it was only possible to call them science fiction have become reality. A significant moment in the twenty-first century has been the rapid growth of artificial intelligence (AI), which has revolutionized knowledge creation, communication, and conservation entirely. It is more than a technological revolution, as it has changed our concept of machines, thinking, creativity, and intelligence. The basic concepts of intellectual property rights (IPR) are being challenged, which is one of the most significant impacts of this shift.


The advent of AI systems capable of generating content—text, images, music, inventions, and so on—are doing so independently or with minimal human involvement—is increasingly placing pressures on the existing intellectual property rights (IPR) system, previously based on human creativity, ingenuity, and moral right.


The research explores the ways in which current legal structures define and distribute rights over creative and inventive works with a concentration on generative AI—software like language models, image generators, and computer-aided design software. The research finds a hidden tension: the majority of legal systems remain committed to withholding non-human actors authorship or inventorship status, even though AI tools exhibit unparalleled creative abilities. This generates legal vacuums, regulatory loopholes, and commercial uncertainty.



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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