Indian Journal for Research in Law and Management

Advancing Law and Management

ISSN No. : 2583-9896

Can IP Survive AI? Rethinking Ownership in the Algorithmic Age

Cite this Article

Ritika Sehrawat (2026). Can IP Survive AI? Rethinking Ownership in the Algorithmic Age. The Indian Journal for Research in Law and Management, Volume III(Issue 10). Retrieved from https://ijrlm.com/journal/can-ip-survive-ai-rethinking-ownership-in-the-algorithmic-age/

Abstract

This article asks whether intellectual property law, built around human creativity, can keep up with AI systems that now write, compose, and invent on their own. It starts with cases like Naruto v. Slater and the Thaler patent disputes, which show courts consistently insisting that only humans can be authors or inventors. It then argues that AI is different from earlier tools like cameras, since it can generate genuinely new work with very little human input, making the old reasoning harder to apply. The article looks at how the US, EU, and India are each handling this, especially the unresolved Thaler v. Perlmutter case in the US and the ongoing ANI Media v. OpenAI dispute in India, along with WIPO's efforts to bring these questions to a global table. It ends by pointing to three likely paths forward: crediting the human who directs the AI as author, creating new kinds of protection just for AI-generated work, and finally addressing the unresolved issue of AI models being trained on copyrighted material without consent.

Journal Information

The Indian Journal for Research in Law and Management
ISSN No.
2583-9896
Submit Manuscript
Licensing
All research articles published in The Indian Journal for Research in Law and Management 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 IJRLM 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 IJRLM.

Article Analytics

36
Page Views
0
Downloads