Also check out Dan Tepfer [1] who is doing amazing work with an algorithmic approach to reactive live performances, with great call and response tactics.

I myself am slowly prototyping a fully artificial AI band which can be orchestrated using very high-level musical ideas and a big helping of intelligent randomization and algorithms based on music theory.

I've been prototyping in Andrew Sorensen's Extempore [2] and have laid much of the groundwork like melody/harmony/rhythm generation as well as basic modulation of these elements to create longer musical structures which utilize motifs in multiple ways

Currently it is a matter of shedding pre-computed tables of "nice" sounding progressions or purely random progressions, and creating a more fundamental approach which can derive the appropriate progressions from the given user parameters. I am also expanding the program's ability to generate aesthetically pleasing and unique singular motifs which drive these algorithmic compositions.

I have a band leader / conductor module which provides cues and other synchronized data, which even without advanced motif generation and modulation still allows for things not currently possible in any non-code musical production software such as global dyamics, timing changes, progression sharing, (eventually) directing impromptu solos, etc.

Reach out via email if you'd like to discuss more!

[0] https://magenta.tensorflow.org/ [1] https://www.youtube.com/watch?v=SaadsrHBygc [2] https://extemporelang.github.io/