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DPDP Act “Specified Purpоse” Cоnsent Vs Generative AI Data Use




Inaan Prashere, Punjabi University, Patiala

Emal Biju Pappachan, Punjabi University, Patiala


1. ABSTRACT


This report analyses the tension between India’s Digital Personal Data Protection Act, 2023 (DPDP Act) and the data requirements of generative AI systems. While the DPDP Act requires personal data to be processed only with free, informed, specific, and purpose-bound consent, generative AI models rely on large, diverse datasets and continuous training, often making compliance with these requirements difficult. The study identifies key legal and technical conflicts, including the mismatch between AI’s broad data use and the Act’s purpose limitation, data minimisation obligations, and challenges in deleting or "untraining" data following consent withdrawal.


It also compares the DPDP Act with the EU GDPR and the UK Data Protection Act, highlighting that these frameworks provide broader legal bases for processing than the DPDP Act. The report evaluates potential compliance measures such as the use of genuinely public data, anonymisation, privacy-enhancing technologies, dynamic consent, and stronger data governance, alongside policy reforms including research exemptions and clearer regulatory guidance. It concludes that, without greater flexibility and clearer interpretation of consent requirements, the DPDP Act may hinder AI innovation or result in widespread non- compliance, and recommends practical compliance strategies and policy reforms to better balance privacy protection with AI development.


Keywords: DPDP Act,2023, Generative AI Cоnsent, Specified Purpоse, Data Minimizatiоn, GDPR, UK Data Prоtection, AI Cоmpliance, Purpоse Limitatiоn, Data Flоw, AI Training.



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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