Data Chasing AI — An Original Indian Proposition, Documented Since 2018
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Respected Shri Ashwini Vaishnaw ji,
I am writing to place before you a proposal that I believe deserves recognition not
merely as a timely idea, but as an original, India-first articulation — one I have
been developing and refining consistently since March 2018, well before AI
training data became a global flashpoint.
The proposal: a National Citizen Data Trust through which India's 140 crore
citizens voluntarily and knowingly deposit categories of their own personal data —
strictly anonymised and aggregated — which is then licensed to Indian AI
developers for a fee. It inverts today's model of "AI chasing data" (scraping,
litigation, contested consent) into "data chasing AI" — citizens as willing,
compensated co-owners of the AI economy rather than its raw material.
The urgency of this is underscored by a case unfolding right now: publishers and
novelist Scott Turow are suing Google over books allegedly used to train Gemini
without authorisation — even though the works were originally supplied only for
search and retail purposes. It is a preview of the legal exposure every AI industry
built on scrape-first data acquisition will eventually face, including, if we are not
deliberate, our own.
What I want to bring specifically to your attention is that this is not a reactive idea
assembled in response to that lawsuit or to today's Sovereign AI debate. It is
prior art, developed over a sustained, documented record:
| Blog Title | URL | Publication Date | Policy Relevance |
|---|---|---|---|
| FW: REQUEST FOR RE-LOOK [RFR] | http://emailothers.blogspot.com/2018/07/fw-request-for-re-look-rfr.html | July 2018 | India Data Custodian framework proposal |
| YOU HAVE A VALUABLE PROPOSITION | http://emailothers.blogspot.com/2018/05/you-have-valuable-proposition.html | May 2018 | PrivacyForSale.com portal for data monetization |
| Data Monetization Enabling 500M Citizens | http://emailothers.blogspot.com/2019/03/ | March 2019 | SARAL enabling 500M citizens to earn from data |
| FW: YOUR VIEWS ON PRIVACY | http://emailothers.blogspot.com/2018/03/fw-your-views-on-privacy.html | March 2018 | Privacy vs. livelihood trade-off analysis |
| FW: DATA PROTECTION BILL COMPROMISE | http://emailothers.blogspot.com/2019/01/fw-data-protection-bill-here-is-best.html | January 6, 2019 | Data Custodian governance framework |
Eight years of consistent, dated, public articulation — not an also-ran concept, but
arguably the earliest sustained case made anywhere for consent-first, citizen-
monetised data as national AI infrastructure.
I have now consolidated this entire line of thinking into a comprehensive white
paper,
"Data Chasing AI : Turning the Table on the Global AI Data Economy,"
- which sets out the full ten-tier data framework, the consent-and-anonymisation
architecture, the citizen data dividend model, and a phased implementation
roadmap — attached for your consideration.
I believe this can give India's Foundational AI companies a training-data
advantage over their US and Chinese counterparts, built on consent rather than
litigation, and at a fraction of the cost.
I would be honoured to discuss this further with you or with MeitY's empanelled AI
partner firms at your convenience.
With regards,
Hemen Parekh
www.HemenParekh.ai / www.ntaNEET.net / www.IndiaAGI.ai
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