India’s Proposed Royalty System for AI Training Could Transform Global Practices

India has put forward a game-changing proposal. First, it would simply require AI companies to pay royalties anytime they use copyrighted content to train their models. This shift puts laws and consequence behind an anterior concept for sections thoughtful as OpenAI and Google. It is a radical change to the business model for AI firms…

Lisa Wong Avatar

By

India’s Proposed Royalty System for AI Training Could Transform Global Practices

India has put forward a game-changing proposal. First, it would simply require AI companies to pay royalties anytime they use copyrighted content to train their models. This shift puts laws and consequence behind an anterior concept for sections thoughtful as OpenAI and Google. It is a radical change to the business model for AI firms working in one of their most lucrative and fastest-growing markets.

The Indian government has released a draft framework. It begins to phase in a compulsory licensing regime that’s intended to ensure the creators whose work is ingested in AI training datasets get compensated. All of the royalties collected would be distributed through a new, artist-focused collecting body. This entity would be made up of rights-holding collectives that guarantee equitable payment flow among creators. This cutting-edge model provides creators with equitable payment. It takes on increasing fears over AI companies’ use of copyrighted content.

OpenAI is obviously aware of how important the Indian market is. CEO Sam Altman admitted that India is currently its second biggest market after the US and has the potential to be its biggest. AI technologies are changing fast. When finalized, this proposal would dramatically change the daily operating environment for the majority of the big players in the industry.

The Indian government introduced this initiative amidst increasing global scrutiny on AI companies. In fact, these companies are already being sued for training the same AI models in discriminatory ways. Concern has quickly mounted as authors, news publishers, and creators in the United States and Europe have risen up. They are dragging companies to court for sharing their content without express written consent. Given these trends, India’s proposal could be the first domino to fall, paving the way for other countries to follow suit with an equally ambitious framework.

According to the Indian government, AI companies generate substantial revenue from Indian users while relying heavily on local creators’ works to train their models. The government now thinks this dynamic calls for a completely different system. They want future creators to get the share of the value that they create in the content ecosystem.

This proposal is currently out for public comment, which gives companies and interested stakeholders a 30-day window to submit their comments. All industry representatives aren’t on board with the new framework. Nasscom, an industry body that represents technology firms including Google and Microsoft, has lodged a formal dissent. They support a wide-ranging text- and data-mining exception instead of automatic royalties. This new approach would promote much more innovation.

The committee sponsoring the proposal says that the new, voluntary system will ensure developers of AI have a clear, easy way to obtain content. They further claim it’ll reduce transaction costs and ensure fair remuneration for rightsholders. They argue that this would remove decades worth of legal unpredictability, all while guaranteeing creators to get paid from day one.

Critics have raised concerns as well. The Business Software Alliance cautioned that relying solely on direct or statutory licensing for AI training data could be impractical and may not produce optimal outcomes. And they cautioned that this type of approach could be problematic and controversial. Otherwise, it could lead AI outputs to just reflect the opinions and biases present in narrow training data sets.

This reauthorization proposal has enormous global implications. With its increased focus and embrace of generative AI, India is quickly becoming one of the most important markets for these tools. The interventionist nature of India’s proposal, which grants AI companies automatic access to copyrighted material in exchange for payment, marks one of the most proactive regulatory approaches yet seen.

ANI, an Indian news agency, has announced its intention to sue OpenAI. They soon filed a public interest lawsuit in the Delhi High Court. ANI claims that its articles were reproduced without authorization in generative AI training processes. What remains is the court’s review to determine if AI training is reproduction or subject to “fair dealing” exemptions.

Debate over the proposal continues. India stands poised to play a significant role in developing international norms and standards for AI development and copyright utilization. This highly significant initiative has the potential to radically alter the operating environment for AI firms throughout India. Its effects would be felt much farther abroad, too.