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Article Volume 6 Issue 2 2713 - 2728 April 22, 2023

Transforming India’s Intellectual Property Landscape with Modern Technology and Artificial Intelligence

Lead author · Corresponding
Shalvi Suchi
LL.M. Student at Amity Institute of Advanced Legal Studies, Amity University, Noida, Uttar Pradesh, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.114659
Abstract

This research article explores the potential of modern technology and Artificial Intelligence (AI) in transforming India's Intellectual Property (IP) landscape. It delves into the current scenario of IP management in India, highlighting key challenges and the possible applications of AI and other advanced technologies to improve IP processes. Legal and ethical considerations surrounding AI in IP management, including data privacy, potential bias, accountability, and intellectual property rights for AI-generated works, are also examined. The article provides recommendations for implementing modern technology and AI in India's IP landscape, which include developing a comprehensive technology and AI integration strategy, investing in infrastructure and capacity building, promoting public-private partnerships and collaborations, strengthening the legal and regulatory framework, and encouraging awareness and capacity building among IP stakeholders. By harnessing the power of AI, India can address existing challenges, create a more robust and equitable IP environment, and support economic growth and development in the digital age.

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Article
Information
International Journal of Law Management and Humanities, Volume 6, Issue 2, Page 2713 - 2728
DOI: https://doij.org/10.10000/IJLMH.114659
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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.
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Copyright © IJLMH 2026
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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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