Ed Newton-Rex, writing for Music Business Worldwide:
First up, it’s worth saying that I don’t think DSPs should ban all AI music. There are clearly good use-cases for AI in music creation; if training data is licensed, these use-cases are worth supporting, at least in my book. (I do think a music streaming service will emerge that does explicitly reject all AI music, as Cara has done in the image space. And it will probably do well. But there are good reasons for most DSPs not to take such a blanket approach.)
As table stakes, DSPs should follow the example of other media platforms – Instagramand TikTok, for example – and label content that is generated by AI.
That way, music fans can at least choose what they listen to, and, therefore, what they support. Require uploaders to label AI music they upload, and introduce a post-upload moderation process for tracks that slip through the cracks. This is perfectly feasible. You hope that most uploaders will be honest – in general, people tend to prefer to be – and, for those who aren’t, there are a number of third-party systems that can detect AI music with a high degree of accuracy.