How Musicians Can Get Paid for Training AI
Companies like Sureel and SoundVerse are working to create a system where musicians can get paid for their music used in training AI tools. This system aims to re-create the economic principle that motivates creativity in an era of AI.
Intelligence analysis by Llama 3.3 70B
The use of generative AI has complicated the definition of 'use' in the music industry, and companies are now exploring ways to track and reward the influence of training data on AI outputs.
Imagine you're a musician and you create a song. You want to get paid when people use your song, right? But with AI, it's not that simple. Some companies are working on a way to track how AI uses songs and pay musicians for their work.
Analysis
Rethinking Royalties in the AI Era
The music industry has long relied on a simple economic principle: the more a song is used, the more money it makes. However, with the rise of generative AI, this principle has become complicated. On one hand, the use of a piece of musical training data could be seen as happening only once, at the point of training. On the other hand, creators argue that the creative essence of their work lives on in the structure of the model, used every time the model produces an output.
The Importance of Attribution
Companies like Sureel and SoundVerse are working to create a system where musicians can get paid for their music used in training AI tools. Sureel's software labels online media with instructions determined by the owner, specifying whether an AI company may use the media freely in training, limit its influence in any given training set, or avoid it altogether. The software then tracks how the AI company uses the media in training and sets licensing fees accordingly.
A New Era for Music Creation
The founders of SoundVerse argue that each time a generative AI system produces an output, certain pieces of training data play a greater role than others. If the system outputs music resembling jazz, the jazz in the training set has arguably contributed more than, say, the folk music. This means that musicians could be differentially rewarded for their contributions to the AI lifecycle. As Sureel's Co-President Benji Rogers notes, 'Attribution isn’t about re-creating the old economics. It’s about measuring, for the first time, the thing the old economics only approximated.',
Key points
- Companies like Sureel and SoundVerse are working on a system to track and reward the influence of training data on AI outputs
- This system aims to provide a new way for musicians to earn money from their work
- The system could lead to a more collaborative and innovative music industry
If this system works, it could provide a new way for musicians to earn money from their work and ensure that the use of their music in AI training is fair and transparent. This could lead to a more collaborative and innovative music industry.
However, there are concerns that this system could be complex and difficult to implement, and that it may not accurately reflect the contributions of all musicians. Additionally, there is a risk that the system could be exploited by companies looking to minimize their payments to musicians.
