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The Changing Difficulties Posed By Generative And Artificial Intelligence (AI), As Well As The Legal Nuances Of Digital And Online Content, Particularly With Regard To Copyright In The Digital Age




Dr. Debabrata Roy, Associate Professor, Faculty of Law, The ICFAI University, Tripura, Agartala-Simna Road, Kamalghat, West Tripura


ABSTRACT


Copyright and intellectual property rights (IPR) structure has been reevaluated in light of the swift integration of the generative AI (Gen AI) sector into society. There are considerable ethical and legal issues concerning Gen AI's capacity to generate original content derived from data obtained from human-created materials. These issues cannot be adequately addressed by the current copyright and IPR frameworks, which are based on the concept of human authorship. This paper adopts a multi perspective

methodology to investigate how Gen AI might infringe upon existing IPR regulations by duplicating or altering copyrighted works. The results highlight the lack of transparency in Gen AI platforms and the presence of legislative gaps. This study suggests creating a flexible ethical system that could work alongside a worldwide fair use policy to address these problems and guide how we develop and use Generative AI responsibly. The researchers brought together insights from various experts to understand how these new challenges and potential solutions fit into the bigger picture of how society and technology are evolving together. The study emphasizes that we need countries to work together and do more research to make sure that intellectual property laws and policies stay fair and useful as generative AI continues to shape our future.


Keywords: AI, Generative AI, Ethical Framework, Legislative loopholes, Copyright, IPR, ChatGPT.



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.

 

Disclaimer:

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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