8 months ago
India's AI royalty plan faces criticism
India has a plan to make AI companies pay money to creators whose work is used to train AI models.
The government wants to set up a central body to collect and distribute this money.
However, experts like Rohit Kumar from The Quantum Hub think this plan might not work well.
They say it's hard to figure out how much Indian content is used in global AI models and how much money should be paid.
Also, the plan might not be fair to all creators, as it sets a blanket rate for all content.
Kumar believes the plan has too many problems and might not satisfy anyone.
India proposes a mandatory licensing framework for AI companies using copyrighted content.
A centralised body will collect and distribute royalties based on a percentage of global revenue.
The plan includes retroactive payments for past data usage.
Experts criticise the framework for being unsustainable and facing implementation challenges.
Concerns include difficulty in attributing Indian content's contribution to global AI models.
- Who
- Rohit Kumar, Founding Partner at The Quantum Hub
- What
- Criticism of India's proposed AI royalty framework
- Where
- India
- When
- During the 30-day public comment period
- Why
- Concerns about sustainability and implementation challenges
Key facts
- Proposed Framework
- Mandatory licensing for AI companies using copyrighted content
- Royalty Calculation
- Based on a percentage of global revenue
- Centralised Body
- To collect and distribute royalties
- Retroactive Payments
- For past data usage
- Public Comment Period
- 30 days for feedback
- Criticism
- Lack of sustainability and implementation challenges
- Global Context
- No other country has a workable solution
- Attribution Challenges
- Difficulty in determining Indian content's contribution
Quotes
Rohit Kumar
Founding Partner at The Quantum Hub
“The framework is not sustainable and likely to fail strongly in implementation.”
CNBC TV 18
“India seems to be one of the first attempting to do this. Globally, different kinds of models have been tried because, unfortunately, nobody seems to have the right answer. The committee has tried very hard to balance competing interests — innovation on one hand and copyright protection on the other. But the solution they have come up with is not very feasible. It is not sustainable.”
CNBC TV 18
