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Understanding Deepfake Technology In The Aspect Of Copyright Law




Sachin. S, LL.M., School of Law, Christ (Deemed To Be University), Bengaluru

Prof. Dr. Valarmathi. R, School of Law, Christ (Deemed To Be University), Bengaluru


ABSTRACT


As one of the applications of artificial intelligence methods like deep learning and generative adversarial networks, deepfake technology has altered the digital content making and manipulation many times over. Even though deepfakes are novel and promising in the entertainment, educational, and creative sectors, they pose considerable issues regarding copyright law. This paper explores the deepfake technology in the view of copyright based on the problem of authorship, originality, ownership and infringement. It examines the question of whether a deepfake-generated content is considered a work under the current copyright laws and determines problems with attributing authors in case of autonomous or semi-autonomous AI generation of content. The inequal rights of copyrighted work, image and audiovisual material use that was created in deepfakes are also studied and discussed to point out the danger of infringement and violation of moral rights. Through a critical review of the available legal texts and judicial interpretations, the paper presents gaps in the current laws and regulations of copyright and the necessity of introducing changes to the legal framework to reconcile technological innovation with the establishment of author rights in digital times.


Keywords: Artificial intelligence, Deepfake, Moral rights, copyright.



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.

 

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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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