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AI’s Disruptive Influence On Patent System




Yuvashri. S.K., B.A., LL.M., Legal Practitioner (Ranipet District), Tamilnadu, India.


ABSTRACT


Artificial Intelligence (AI) has become a pivotal force for innovation, fundamentally questioning the foundational principles of patent law that rely on human inventorship. As AI systems increasingly create inventions with little to no human involvement, current patent structures encounter considerable legal and conceptual challenges. This article provides a critical analysis of the effects of AI-generated inventions on patent law, focusing specifically on standards of patentability, inventorship, and ownership within the context of Indian law. It evaluates the relevance of traditional patent criteria novelty, inventive step, and industrial applicability to inventions driven by AI, as well as the statutory exclusions outlined in the Patent Act of 1970 and the Guidelines for Computer-Related Inventions (CRI). By comparing the DABUS case with international practices, the paper underscores the shortcomings of existing legal frameworks in recognizing non-human inventorship. The article also derives that although AI-generated inventions may meet essential patentability standards, substantial legal and policy reforms are required to provide clarity, encourage innovation, and maintain doctrinal consistency in the era of artificial intelligence.


Keywords: Artificial Intelligence (AI), AI-generated inventions, Patent law, Inventorship, Computer-Related Inventions (CRI).



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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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.

 

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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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