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The Illusion Of Authenticity: Mapping Deepfake Technology In The Digital Age

 



Pooja Yadav, B.A. LL.B. (Hons.), Amity Law School, Noida, Amity University, Uttar Pradesh


ABSTRACT


The Artificial Intelligence is one of the rapid technological advancements, which has transformed the digital innovation into a powerful tool that could generate highly-realistic synthetic media, commonly termed as “deepfakes”. The emergence of AI-based deepfakes resulted in a paradigm shift in public perception, which means while people were thinking about the positive role of technological advancement in providing aid and innovation, the issue of technology is viewed now as a mechanism of deception, misleading, manipulation, and rights violation, raising various legal concerns. This paper showcase how evolution of Artificial technology resulting deepfakes, has gone from innovation to manipulation. This further represents how the nature of deepfakes, the models especially Generative Adversarial Networks (GANs), used to make the deepfakes that appears to be hyper-realistic replica of an individual. Additionally, the benefits of deepfake technology in several domains, and the misuse of such deepfake technology that has overshadowed its benefits, as misuse is raising significant questions as to the privacy and personal dignity of an individual. Hence, questioning the adequacy of current laws in addressing the issues and challenges arising from the deepfake technology.


Keywords: Artificial, intelligence, deepfake, technology, innovation, laws, manipulation, public rights, etc.




 
 

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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Licensing: 

 

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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