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UP.AIACT.IN

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28 Stakeholders. 4 Editors. 10 Sectors. 1 Uttar Pradesh.

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India's first AI Transformation Report and Matrix on the State of Uttar Pradesh, India

The AI Transformation Matrix: Problem Statements

Powered by AIACT.IN, the matrix offers a consolidated version of 77 distinct recommendations in the form of "Sectoral Playbooks" from the UP.AIACT.IN Report 2026. 

Sector

Information Security, Vendor Relations

Sectoral Sub-issue

Data Custody and Asset Property Rights

Problem Statement

    Technology vendors claiming exclusive custody over generated operational data, inference logs, and error metrics, which builds data monopolies and locks the state out of its own public information assets.

AI Intervention Layer, defined*

*India's IT Minister once said there are 5 layers of AI (there could be more or less). Hence it becomes necessary to define which specific AI layer was targeted in our policy recommendation for this problem statement.​

    Contractual embedding of strict public property clauses and data custody mandates across all procurement frameworks managed in accordance with the UP.AIACT.IN Report (4).pptx baseline.

Here's what we Recommend.

    Disclose data sources transparently at the category level while keeping proprietary model architectures protected under standard corporate safeguards.

Possible Mandate Recommended for the Uttar Pradesh State Government

    Procurement contracts must explicitly and unambiguously specify that all data generated through government AI system operation, including training data, fine-tuning datasets, inference logs, and error reports, is sovereign government property and cannot be used by the vendor for any purpose other than contracted maintenance.

Measurable Impact of our Recommendations

    The specific data inputs that drove an individual citizen's outcome become completely transparent and accessible, while all system logs remain securely under state custody.

Possible risks

    Leaving critical inference logs, fine-tuning datasets, and error reports under vendor custody, which exposes citizen information to commercial exploitation and compromises systemic data sovereignty.

Possible Economic Spillover of the Policy Move

    Eradicates extractive private vendor data monopolies and secures sovereign state information assets, blocking private tech entities from exploiting public datasets for external commercial purposes.

AI Policy Severity Index*

*Derived directly from the 77 foundational structural challenges evaluated across ten industries within the UP.AIACT.IN Report, the AI Policy Severity Index functions as an evidence-based diagnostic tool designed to classify grassroots operational friction that emerges prior to the rollout of artificial intelligence systems.

Primary Severity Level

    Level 2: Organizational & Workflow Friction

Secondary Severity Level

Level 1: Systemic & Policy Ambiguity

Primary Stakeholder Group

Frontline Practitioners & Field End-Users, Technical Architects & Systems Engineers, Executive & Policy Decision-Makers

Stakeholder Hierarchy

Frontline Execution Layer

In which Chapter of the UP.AIACT.IN Report 2026 can you find this recommendation?

Chapter 10

Level 2: Organizational & Workflow Friction

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