Originality feels self-evident until examined. It is central to art, value, and legal protection, yet collapses quickly under scrutiny. Anyone who has seriously practiced or studied art knows how fragile the concept really is.
Copyright law was never designed to govern learning. As machine learning turns learning into a transferable, economically relevant process, a conceptual gap becomes visible. This essay examines that gap and asks what legal thinking is required once learning is no longer solely human.
CORPUS emerged in 2021 from the question of how to build large, high-quality music datasets for AI training without bypassing rights or excluding creators. Our White Paper explains why existing approaches fail and outlines an alternative licensing and royalty framework for music AI.
Generative AI music is booming. This report maps the 2025 landscape—adoption, tech, law, and artist views—highlighting the promise and tensions shaping the future of AI-generated sound.
Part I: Adoption and Why – The Explosion of Generative AI Music
Generative AI music is booming. This report maps the 2025 landscape—adoption, tech, law, and artist views—highlighting the promise and tensions shaping the future of AI-generated sound.
Part II: New Tools – How AI Is Reshaping the Music-Making Process
Generative AI music is booming.This report maps the 2025 landscape—adoption, tech, law, and artist views—highlighting the promise and tensions shaping the future of AI-generated sound.
Part III: Licensing – Who Owns the Future of AI Music?
