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Research Paper Volume 7 Issue 5 218 - 231 January 15, 2026

Regulating Artificial Intelligence in the Era of Data Protection: A Comparative Legal Analysis of the European Union and Indian Frameworks

Lead author · Corresponding
Tanvi Raghuwanshi
Student at School of Law (Deemed to be University), PIMR, Indore, India
Co-author
Dr. Charu Maheshwari
Assistant Professor at at School of Law (Deemed to be University), PIMR, Indore, India
Abstract

The present data protection legislative frameworks are facing significant problems due to the rapid expansion of AI technology in industry, administration, and the judiciary. The regulatory frameworks of the EU and India with relation to the application of AI technology in data processing are compared in this study. The EU has created the GDPR and EU AI Act, two pieces of legislation that provide a risk-based framework for regulating AI technologies and how they affect the processing of personal data. However, as the DPDPA was passed in 2023, India is still in the early phases of creating a regulatory framework for the usage of AI technologies. Despite being a significant step forward in the evolution of Indian data protection legislation, the DPDPA lacks any provisions pertaining to artificial intelligence. Four major conclusions have been drawn from this paper's analysis of primary legal acts, court rulings, and public policies: normative material convergence in foundational norms; significant divergence in the extent of AI governance; a significant gap in the statutory treatment of automated decision-making; and an urgent need for legislative reform. The study concludes with the creation of a number of thoughtfully crafted recommendations for India that expand upon the EU's regulatory framework while taking India's development aspirations into consideration.

Type
Research Paper
Information
International Journal of Legal Science and Innovation, Volume 7, Issue 5, Page 218 - 231
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
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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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