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Research Paper Volume 4 Issue 3 5784 - 5791 June 29, 2021

IP Laws, Innovation and the AI based Patents: US and EU

Lead author · Corresponding
Devank kumar singh
LLM student at Jindal Global Law School, Sonipat, India
Abstract

The aim of this paper is to explore and connect the dots by an up-to-date analysis of Artificial intelligence, innovation, its dissemination, and AI based IPs. Advanced mechanics innovation & the expanding refinement of Artificial Intelligence (hereinafter referred to as AI) with critical development possibilities taking into consideration its potential to modify existing economic and social aspects of everyday life. This paper delves into the domain of comparative analysis mainly in the US and Europe. In furtherance of this, discussing the role of WIPO (World intellectual property organisation) acting as a catalyst in the evolution of AI based IP’s. Also, focusing as to how the governments plays a major role in supporting AI innovations, may it be through judicial decisions, basically implicit, de-facto requirements. The essence behind providing the right of patent was to exclude any third-party from using the proprietors technology without their permission and in consideration get royalties for their hard work. In light of this, the highest number of filings vis-a-vis AI’s have taken place in US, China, Japan and Republic of Korea. Earlier the electronic and automotive industries were considered to be the largest patent filers, however, lately a drastic increase has been observed in the domain of Internet of things and medical technology. Trade secrets have always had their way as a tool for proper innovation. Finally, discussing inevitability of technological singularity and whether AI inventions or innovations are worthy of being IP protected.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 4, Issue 3, Page 5784 - 5791
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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