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Deep Fakes And Privacy: Legal Challenges And Emerging Safeguards

Aug 26
1 min read



Yashwant Shailendra Soni, Mahatma Gandhi Kashi Vidyapeeth


ABSTRACT


An artificial intelligence-based technique known as "deep-fake technology" creates or modifies audio-visual information while raising serious privacy issues. Deep-fake technology allows very lifelike representations of people in inappropriate circumstances while causing negative effects through election interference and disinformation efforts that impact both society and individual reputations. The General Data Protection Regulation (GDPR) of the European Union, certain state privacy laws in the United States, and Indian data privacy laws were all constructed without taking into account the unique risks associated with material produced by artificial intelligence. Deep-fakes can now take advantage of substantial legal issues pertaining to consent and data protection rights over personal photographs that have been created by legislative deficiencies. This study examines deep-fake technology and the serious privacy risks it poses, assessing technological and legal solutions. From a privacy perspective, this study looks into how deepf- fakes challenge conventional wisdom regarding consent, authenticity, and individual identity. From a technology perspective, the study looks at current deep-fake detection and prevention systems. It takes intricate procedures that call for both technological advancements and supportive legislative frameworks to successfully integrate these technologies into all- encompassing privacy protection frameworks.


Keywords: Keywords: Deep-fakes, Privacy, AI Regulation, Data Protection, Consent 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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