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India's DEPA Framework: AI Models Access Data Without Transfer
3 Nov
Summary
- New handbook helps organizations securely share AI training data.
- DEPA framework allows AI models to access data without transfer.
- Initiative addresses privacy, ownership concerns for responsible AI.
India's Ministry of Electronics and Information Technology (MeitY) has introduced a new handbook to facilitate secure data sharing for artificial intelligence (AI) training. Launched on October 31 in Bengaluru, the Handbook on Data Empowerment and Protection Architecture (DEPA) for AI Training aims to resolve concerns regarding data privacy, confidentiality, and ownership.
The DEPA framework employs a multi-faceted approach, combining usage agreements, secure computing systems, and privacy safeguards. A significant innovation is its ability to allow AI models to access data without the need for organizations to transfer their datasets. This principle, where 'the model travels to the data,' is expected to enhance transparency and collaboration.
MeitY emphasizes that access to diverse datasets is crucial for AI advancement. By providing a system that protects commercial information and ensures data ownership, the DEPA framework is designed to encourage greater participation from organizations in AI development initiatives.
