Assistant Professor at S.K.J. Law College, Muzaffarpur, Bihar, India
Artificial Intelligence (AI) is revolutionizing innovation across the globe, posing significant challenges and opportunities for intellectual property (IP) law. This research delves into the intricate relationship between artificial innovation and IP law, with a focus on the Indian context. It explores how AI is reshaping traditional innovation paradigms and examines the adequacy of existing IP frameworks in addressing these changes. The major areas of the study include ownership, infringement, liability, and ethical considerations surrounding AI-driven innovations. The paper also encompasses the current Indian IP landscape, highlighting landmark cases, government initiatives, and challenges specific to AI-related innovation and their IP protection. Drawing insights from international regulatory efforts and treaties, the study proposes future directions for India's IP law, emphasizing the need for novel legal frameworks, public-private partnerships, and an inclusive innovation ecosystem. Additionally, the research study addresses the broader societal implications of AI, such as employment disruption, bias, and data privacy. The research concludes with actionable recommendations to align India's IP law with the rapid advancements in AI, ensuring a balance between innovation, ethical considerations, and equitable societal outcomes. This comprehensive doctrinal research study is supported by a robust bibliographic foundation, and manifold references from leading academic and legal sources.
Research Paper
International Journal of Law Management and Humanities, Volume 8, Issue 1, Page 1883 - 1907
DOI: https://doij.org/10.10000/IJLMH.119082This 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 © IJLMH 2021