India Unveils Proposed Framework to Democratize AI Data Training
· GlobeWire Daily Editorial Desk · Source: www.business-standard.com

Original GlobeWire Daily editorial illustration — not an event photograph.
Overview of the DEPA for AI Training
The Indian Ministry of Electronics and Information Technology (MeitY) has introduced a draft framework titled 'Data Empowerment and Protection Architecture (DEPA) for AI Training.' The proposal aims to enable startups, researchers, and enterprises to train artificial intelligence models using data currently siloed within hospitals, banks, and public agencies, without compromising personal privacy.
Addressing the 'Data Deadlock'
The report identifies a 'Data Deadlock' as the primary barrier to AI progress in India. Critical data required for model training is trapped behind institutional and regulatory walls, leading to market concentration that favors only large entities. The framework highlights several key challenges:
- Privacy Risks: Conventional anonymization is often insufficient to prevent re-identification.
- Institutional Barriers: Lack of trust and clear frameworks makes organizations reluctant to share data.
- Cost-Benefit Imbalance: High risks and costs often outweigh the perceived benefits of data sharing.
Technical Architecture
The framework is built upon four technical pillars to ensure security:
- Data Exchange Platform: A central hub for managing requests.
- Electronic Contracts: Legally binding, machine-readable agreements.
- Secure Data Environment: Isolated spaces where training occurs without exposing raw data.
- Differential Privacy: Techniques to ensure individual data points cannot be extracted from trained models.
Implementation and Future Outlook
The proposed model suggests that providers register datasets, and intermediaries—termed 'Data Collabs'—standardize the information. Consumption of data would be strictly restricted to verified use cases, with models undergoing bias, security, and explainability audits before deployment. The government intends to start with pilots in the finance and healthcare sectors, with the ultimate goal of fostering a data-driven economy that could add significant value to India's GDP by 2030.
Verification
Interested parties can review the official DEPA for AI Training handbook released by MeitY to understand the proposed compliance and regulatory mechanisms. The initiative is in the draft stage, and stakeholders are encouraged to monitor future government notifications for formal consultation processes.
AI-assisted reporting; source claims are attributed and have not been independently verified.
More to read
Related coverage
Related reporting available at publication.
Data Security Council Launches India-Specific Guide on Agentic AI Liability
India's AI Data Center Boom Sparks Debate Over Resource Costs and Human Intent
Adelaide Hills Communities Rally Against Proposed 1,200MW AI Data Centre
AI Vendors Re‑Examine Data‑Sharing Rules as Customers Push Back on Shared Model Training
Finding Old Photos Without Cloud AI: Exploring the Memoria Gallery App
Streamlining Personal Research: How to Turn Google Drive Into a Gemini-Powered Knowledge Base