US EditionPublished • loading... • Updated
Indian AI royalty proposal targets data practices of OpenAI, Google
The Indian government panel proposes a centralized royalty pool for AI companies to pay content creators, rejecting EU opt-out and US fair use models, to ensure fair remuneration.
- On December 8, 2025, a DPIIT committee proposed that Google and OpenAI pay content creators into a centralised copyright-society-style non-profit during a 30-day public comment period.
- Rejecting the EU opt-out model, the DPIIT committee said content creators should not police massive datasets and moved away from the US "fair use" argument, seeking mandatory remuneration instead.
- A centralised copyright society would collect royalties for members and non-members, distribute payouts weighted by web traffic and social indicators, and allow appeals to the judiciary.
- Nasscom objected that the mandatory fee is a `tax or levy on innovation`, while the Digital News Publishers Association sued OpenAI in the Delhi High Court, and OpenAI says its use is fair use.
- If adopted, the measures would force AI developers to pay recurring fees and reshape training-data economics while providing regulatory clarity instead of relying on litigation risk and court outcomes.
Insights by Ground AI
17 Articles
17 Articles
AI Training Royalty: India Proposes Mandatory Blanket Licence To Regulate Copyright Use and Guarantee Fair Compensation for Creators | 📲 LatestLY
India proposes mandatory AI training royalties with a blanket licence, CRCAT collection body, and retroactive payments, replacing voluntary deals like OpenAI’s partnership with the Associated Press. The framework aims to ensure fair compensation and equal access for creators and AI developers. 📲 AI Training Royalty: India Proposes Mandatory Blanket Licence To Regulate Copyright Use and Guarantee Fair Compensation for Creators.
Coverage Details
Total News Sources17
Leaning Left3Leaning Right4Center3Last UpdatedBias Distribution40% Right
Bias Distribution
- 40% of the sources lean Right
40% Right
L 30%
C 30%
R 40%
Factuality
To view factuality data please Upgrade to Premium
