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Green AI: Innovation Versus Precaution And India’s Environmental Jurisprudence Gap

Apr 21
1 min read



Neelakshi, Advocate, LL.M. (IPR)


ABSTRACT


India is building world’s largest AI infrastructure; over 38,000 GPUs under the IndiaAI Mission, Data Centres expanding across the country and Draft Data Centre Policy 2025 offering 20 years tax holidays. Yet the environmental cost of this expansion is being overlooked. IndiaAI Mission is silent on the emissions and energy use. The DDCP, 2025 imposes no mandatory Environmental Impact Assessment and makes renewable energy sourcing voluntary.


This article argues that India’s AI Governance Guidelines are incoherent; these guidelines have explicitly adopted ‘Innovation over restraint’ as a governing principle. But in India Precautionary Principle is not mere policy option rather it is an established law of the land. Rooted in German jurisprudence, the Precautionary Principle was firmly established in Vellore (1996) by the Supreme Court of India and given statutory force under National Green Tribunal Act, 2010 and reaffirmed as a fundamental right under Article 21as a right to healthy environment extended to right against adverse climate change in MK Ranjitsinh (2024).


This article identifies two gaps. That there are no mandatory environmental impact assessment for data centres and absence of cross-ministerial alignment with India’s climate commitments. It proposes corrective measures using the existing legal mechanisms; an EPA Section 3 Notification and NDC compliance clause in the Draft Data Centre Policy.


Keywords: Green AI, Precautionary Principle, Environmental Jurisprudence, Data Centre policy, IndiaAI Mission, Net Zero.



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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