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Exploring Uncharted Territories: The Progression Of Privacy Legislation In The Age Of Artificial Intelligence




Jagatha Guna Sai Venkat, CPJ College, Guru Gobind Singh Indraprastha University (GGSIPU)


ABSTRACT


In the dynamic interplay between technological advancement and legal evolution, the advent of artificial intelligence (AI) poses novel and significant challenges to the traditional paradigms of privacy law. This paper delves into the intricate relationship between AI technologies and privacy rights, scrutinizing how the pervasive use of AI in various sectors exacerbates concerns surrounding data privacy, consent, and surveillance. Through a comprehensive analysis, it explores the adequacy of existing legal frameworks in safeguarding privacy in the face of rapid technological innovation, highlighting the gaps and inadequacies that AI introduces to privacy protection and data governance. By adopting an interdisciplinary approach, the study critically examines the intersection of technology, law, and ethics, proposing a nuanced legal and policy framework that anticipates the evolving landscape of AI applications. The aim is to contribute to the ongoing discourse on privacy and technology, advocating for proactive legal reforms that ensure robust privacy protections while accommodating the growth and societal benefits of AI. This paper seeks not only to map the current terrain of privacy law in the digital age but also to chart a course for future legal and policy developments in the era of artificial intelligence.

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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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