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Harmful Use Of Deepfake Technology: A Legal And Doctrinal Analysis




Sanjana Sharma, Amity University


ABSTRACT


Deepfake technology, powered by artificial intelligence and machine learning, has emerged as one of the most disruptive technological advancements of the digital era. Although it offers legitimate applications in entertainment, education, and accessibility, its misuse has raised serious legal, ethical, and societal concerns. Deepfakes pose more than just misinformation, according to cyberlaw experts. It violates fundamental personality rights such as privacy, reputation, autonomy, and consent. Legal professionals and digital citizens face the difficulty of not just establishing authenticity, but also claiming ownership of their digital identity.


This paper examines the harmful use of deepfake technology with a specific focus on India while incorporating comparative global perspectives. It analyses instances of misuse such as political misinformation, non- consensual intimate imagery, financial fraud, and identity manipulation. Further, it explores judicial responses and emerging case law, highlighting the inadequacy of existing legal frameworks in addressing deepfake-related harms. Finally, it proposes regulatory reforms, including the need for a dedicated legal framework, platform accountability, and technological safeguards. The study concludes that while existing laws provide partial remedies, a comprehensive and forward-looking regulatory approach is essential to mitigate the risks posed by deepfake technology.



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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