Machine Intelligence, New Interfaces, and the Art of the Soluble
This work addresses the problem of enhancing human creativity in music through AI, but it is incremental as it builds on existing ideas without introducing new methods or data.
The paper argues that partial machine intelligence solutions can create expressive musical works and proposes augmenting human expression as a key goal, noting that the aesthetics of human augmentation in music performance is still underdeveloped.
Position: (1) Partial solutions to machine intelligence can lead to systems which may be useful creating interesting and expressive musical works. (2) An appropriate general goal for this field is augmenting human expression. (3) The study of the aesthetics of human augmentation in musical performance is in its infancy.