Maybe its not going to be about completely copying artists. Just attributes from them. What if training the models becomes the art form itself and datasets are the building blocks you use to compose with. Imagine 'composing' models by selecting the training sets. Example: train with the rhythm style of James Brown & the tonalharmony of 50% Bach & 50% Miles Davis.