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Research Paper Volume 5 Issue 1 322 - 336 January 13, 2022

Sufficiency of Disclosure under Indian Patent Law Concerning AI-Generated Inventions

Lead author · Corresponding
Divyansh Shukla
Prof. at PSIT College of Law, India.
Co-author
Harsha Aswani
Advocate at Jodhpur, India.
Abstract

The Patent Offices and the Courts of many countries such as the US, the EU, China, Japan have tried to interpret the existing patent laws to respond to the patent applications centered around AI being an inventor and has made some efforts to accommodate this massive breakthrough technology, but the Indian Patent Office or Courts have yet not taken any such initiative. This paper attempts to undertake a small step to see how capable the Machine Learning Model is in meeting the substantive and procedural requirements flowing from the issue of Inventorship under the Indian Patent Law. This shall be analyzed through the eyes of people from the field itself primarily, start-ups that have set their foot in the Indian AI market, IP Experts, AI-dedicated Scientists, and key Industrial personnel, to understand the practical nuances of this intelligent-looking technology better and analyze the probable "What Ifs" that shall come to the fore once the AI is supposedly considered a potential contender for the title of an "Inventor." The research is primarily mixed, adopting both doctrinal and non-doctrinal approaches to qualitatively analyze the issue about the intersection between AI-generated Technology and Patent Law.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 5, Issue 1, Page 322 - 336
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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