Musicians are seeking compensation for their work used in training AI models, challenging existing definitions of use. Startups like Sureel and SoundVerse are developing systems to ensure fair compensation for artists in the evolving generative AI landscape.
Musicians have established systems for receiving compensation every time their work is used across various platforms. However, the rise of generative AI presents a complex scenario as the traditional definitions of use are being challenged. While the training of AI could be seen as a one-time use, the impact of musical work generates ongoing value whenever outputs are produced.
Companies like Sureel, recently acquired by Warner Music Group, are exploring innovative ways to ensure that music creators get compensated for their work in AI training. By partnering with the Swedish copyright agency STIM, Sureel aims to label and track how their media is utilized, adjusting licensing fees based on use.
Similarly, SoundVerse is pushing for a model that offers ongoing royalties based on the specific contributions of training data to AI outputs. Their perspective denotes a shift away from traditional one-time compensation models to a more intricate system that recognizes the continuous influence of artists' works.
The initiatives being explored by these startups could redefine how artists are compensated in an era dominated by AI tools. As Sureel and SoundVerse develop means to measure and attribute the influence of training data, they may help ensure that the creative contributions of musicians are acknowledged and rewarded.
Benji Rogers of Sureel emphasizes that this approach is not merely about replicating old economic models but about accurately measuring influence in a way that was previously unattainable.
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Musicians are seeking compensation for their work used in training AI models, challenging existing definitions of use. Startups like Sureel and SoundVerse are developing systems to ensure fair compensation for artists in the evolving generative AI landscape.