In the evolving landscape of generative AI music, the challenge of attribution emerges as a critical concern. At SOMMS.AI, as we further refine our customer’s custom music models, we have a front row seat in witnessing their capabilities to generate music with artificial intelligence that sounds authentic. As a result, there becomes a pressing need to recognize the foundations upon which these generations stand: human creativity.
This is not just about financial compensation; it’s about preserving the integrity of artistry and recognizing the dedication of musicians whose work has been instrumental in training these models.
AI-generated music does not emerge from a vacuum. Every track, every melody, every harmony generated by our music models has their roots in human-created music. This music, sourced ethically, with the consent of the various artists that are in the rosters of our customers, shape the very essence of what our AI produces. Consequently, it is imperative to ensure that these sources are recognized and attributed appropriately.
Therefore, we have invented a state-of-the-art attribution system designed to bridge this gap. By providing attribution, our system ensures that individual creators and rights-holders are recognized when AI music reflects their influence. This is not just about financial compensation; it’s about preserving the integrity of artistry and recognizing the dedication of musicians whose work has been instrumental in training these models.
In the discourse surrounding AI music attribution, a contentious point often emerges: the argument for exact mathematical attribution. Critics claim that without precise, mathematical delineation, true attribution remains elusive. However, this stance is a red herring. Music, in its very essence, is a blend of mathematics and emotive artistry, and attempting to reduce its nuances to algorithms oversimplifies its complexity. By blending tech advancements with a nuanced understanding of the business of music, our system is a blueprint for how the future of attribution can and should be approached.
