India proposes secure data-sharing framework for AI training
India’s government has proposed a framework to let AI developers train models on data held by Indian organisations, while keeping that data under the owners’ control. The plan aims to encourage AI tailored to local needs and limit unrestricted access by large technology companies.
Under the Data Empowerment and Protection Architecture for AI Training, hospitals, banks and government agencies would share anonymised, encrypted data through exchange platforms. Developers would train models inside secure environments where data stays encrypted during processing, usage rules are enforced and activity is logged for audits. India says the approach could support healthcare research, extend formal credit to 400 million underserved people and enable personalised learning for millions of students, but it is unclear how much work is needed to put the system into practice.
In short
- India proposes secure data exchanges for AI training.
- Data owners would set rules for how their information is used.
- The plan targets healthcare, finance and education.
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The case for
A secure, owner-controlled framework could make valuable Indian data available for AI research while reducing the risk of unrestricted access by large technology companies. If privacy safeguards, usage rules and audits work as intended, it could support locally relevant advances in healthcare, credit and education while giving data holders more control over how their information is used.
The case against
Even with encryption and audit logs, sharing sensitive data across exchange platforms creates risks of misuse, re-identification or security failures, and safeguards may be difficult to enforce consistently. The system could also prove costly and complex to implement, while centralised rules over access may limit researchers or leave smaller developers at a disadvantage; the promised public benefits remain uncertain until the framework is tested.
Explained simply
AI models are trained on examples so they can recognise patterns and generate responses. Much useful information in India is held by organisations such as hospitals, banks and government agencies, which may be reluctant to hand it over because it can be sensitive.
The proposed system would let developers train models using data that remains with its owners and is shared in anonymised, encrypted form through exchange platforms. Developers would work in secure environments, with rules on how data can be used and records kept for audits.
The government says the framework could help build AI for local needs, including healthcare research, credit access and education. Its impact would depend on how the system is put into practice and whether organisations and developers can use it securely.
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Originally published by The Register as “India floats AI plan under which ‘The model travels to the data, rather than the data travelling to the model’”.