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Privacy And Synthetic Media: Navigating The Intersection Of AI, Data Protection, And Media Law




Prashant Dubey, ICFAI Law School, Dehradun


ABSTRACT


The rise of synthetic media, generated or altered by AI, presents significant challenges to privacy, data protection, and media law. This article examines the privacy implications of AI-driven content, especially deepfakes, which replicate individuals' likenesses without consent. While synthetic media benefits industries like entertainment and advertising, it raises ethical concerns, blurring the line between genuine and manipulated content. The misuse of biometric data, including facial recognition and voice patterns, further complicates these concerns.


In India, the right to privacy is constitutionally protected under Article 21, but existing laws like the Information Technology Act, 2000 fall short in addressing the unique issues posed by synthetic media. Comparatively, the GDPR in the European Union provides stronger safeguards for biometric data, while the U.S. approach remains fragmented across states, such as California’s AB-602 targeting deepfakes.


The article highlights the global disparity in legal frameworks and advocates for stronger, adaptive regulations in India to manage the privacy risks associated with AI-generated media. It also explores ethical dilemmas around consent, data usage, and public trust, underscoring the need for technological solutions like watermarking and AI detection to protect privacy in the age of synthetic media.

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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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