Of all possible music, jazz is the most elusive genre when it comes to AI emulation: the energy of wind instruments is a challenge for neural networks, the virtuosity displayed by jazz performers is not easy for algorithms either, not to mention the social and improvisational nature of jazz: artificial intelligences cannot yet interpret the gestures, glances and other interactions with which jazz musicians agree to play.

Within this context is a research project called "Jazz As Social Machine", an initiative of the Alan Turing Institute led by Dr. Thomas Irvine, where they investigate the social interactions that take place within improvisation, as well as the historical memory of jazz, which each performer carries with him and which is not yet transferable to the more complex neural network.