I agree that mandatory labeling and compensation should be part of the solution, but you haven't actually answered my argument, you've just changed the subject from whether AI music should have unrestricted access to what regulations could accompany it. Labeling tells me that a song is AI-generated; it doesn't tell me whether the model was trained on copyrighted music without permission, whether an artist's voice or style was replicated, or whether AI-generated content is being mass-produced to overwhelm human musicians.
And saying ‘training data becomes a licensing issue’ doesn't kill the consent argument, it proves my point. If artists should have the right to consent to their work being used for AI training, then unrestricted AI music platforms are already problematic until those licensing rules exist and are enforced. You can't use a future regulatory system as proof that the current system is acceptable.
Finally, I'm not arguing that AI music should magically disappear. I'm arguing that platforms shouldn't treat unlimited machine-generated content exactly like human-created music while the rules governing consent, training data, royalties, impersonation, and market flooding are still inadequate. If your solution is mandatory labeling, licensing, and royalties, then we're actually closer than you think. The disagreement is whether platforms should be allowed to scale AI music first and figure out the consequences afterward.
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