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The Future Of Intellectual Property In The Age Of Artificial Intelligence In India




Deepika Sejwal, PhD Scholar, IILM University, Gurugram


ABSTRACT


The rapid evolution of Artificial Intelligence (AI) is fundamentally reshaping the landscape of intellectual property (IP) across the globe, and India is no exception. This research explores what the integration of AI means for the future of IP laws in India, how current legal frameworks are coping with AI- generated works, and why urgent legal reform is necessary to ensure innovation is both protected and promoted in this new digital age. The article critically examines Indian IP law’s current approach to authorship, ownership, and patentability in the context of AI systems capable of autonomously generating creative and inventive outputs.


Furthermore, the article investigates ethical dilemmas, enforcement challenges, and the implications for traditional creators and industries. Despite increasing discourse, there remains a significant gap in India’s legal and policy landscape—namely, the absence of clear guidelines on IP rights for AI-generated works and limited judicial interpretation. This research argues that without timely and adaptive legal reform, India risks falling behind in both AI innovation and the global IP race. Ultimately, it calls for a proactive, inclusive policy framework that balances technological advancement with creator rights and public interest.


Keywords: Artificial Intelligence, Intellectual Property, India, Legal Reform, AI-Generated Works



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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