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Democratising Access to AI Infrastructure (White Paper, Version 3.0)

Released on December 29, 2025, by the Office of the Principal Scientific Adviser to the Government of India (Prof. Ajay Kumar Sood), this is the first white paper in the series on "Emerging Policy Priorities for India's AI Ecosystem". The white paper defines democratising access to AI infrastructure as making foundational AI resources—compute capacity, high-quality datasets, and enabling tools—available beyond a limited set of large firms and major urban hubs, treating them as shared national resources.

The AIACT.IN India AI Regulation Tracker

This is a simple regulatory tracker consisting all information on how India is regulating artificial intelligence as a technology, inspired from a seminal paper authored by Abhivardhan and Deepanshu Singh for the Forum of Federations, Canada, entitled, "Government with Algorithms: Managing AI in India’s Federal System – Number 70".

We have also included case laws along with regulatory / governance documents, and avoided adding any industry documents or policy papers which do not reflect any direct or implicit legal impact.

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December 2025

Issuing Authority

Office of Principal Scientific Adviser (OPSA), Government of India

Type of Legal / Policy Document

Guidance documents with normative influence

Status

Enacted

Regulatory Stage

Pre-regulatory

Binding Value

Guidance documents with normative influence

Related Long-form Insights on IndoPacific.App

Reimaging and Restructuring MeiTY for India [IPLR-IG-007]

Averting Framework Fatigue in AI Governance [IPLR-IG-013]

Decoding the AI Competency Triad for Public Officials [IPLR-IG-014]

NIST Adversarial Machine Learning Taxonomies: Decoded, IPLR-IG-016

AI Bias & the Overlap of AI Diplomacy and Governance Ethics Dilemmas

Artificial Intelligence, Market Power and India in a Multipolar World

Related draft AI Law Provisions of aiact.in

Section 10 – Composition and Functions of the Council

Section 15 – Guidance Principles for AI-related Agreements

Section 16 – Guidance Principles for AI-related Corporate Governance

Section 17 – Post-Deployment Monitoring of High-Risk AI Systems

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