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Research Paper Volume 7 Issue 3 748 - 755 June 29, 2025

The Study of Data Protection Laws in the Era of Artificial Intelligence

Lead author · Corresponding
Dr Sibani Sarmah
Assistant Professor at Mahatma Gandhi University Meghalaya, India
Abstract

In recent years, artificial intelligence (AI) has experienced significant advancements. Currently, AI tools are being utilized more frequently by organizations in both the private and public sectors worldwide. The potential of AI today and in the foreseeable future offers considerable advantages for individuals, institutions, and society as a whole. Nevertheless, these technological advancements also present critical challenges, particularly regarding the relationship between AI and data protection regulations. Consequently, we face both a chance and a responsibility to assess the adequacy of existing data protection laws in the context of contemporary technological developments. The relationship between artificial intelligence (AI) and data protection legislation is becoming more complex, leading to various legal and ethical dilemmas. Although current data protection regulations, such as the Digital Personal Data Protection Act (DPDP) in India, are designed to protect personal information, they may not adequately tackle the distinct challenges that AI presents. This paper explores the existing data protection laws in India as well as examine the legal framework ,statues and case laws related to AI .The paper also evaluates the strength and weakness of the existing legal framework and provides a recommendation to address the challenges of AI and data protection.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 7, Issue 3, Page 748 - 755
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLSI 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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