This is a past event
In this third seminar of the MusAI series of 4 public seminars held in collaboration with the AI and the Arts interest group at The Alan Turing Institute, we address the rapid growth of practice-based research in music and the arts focused on creative applications of AI. Composers Artemi Gioti and Aaron Einbond present two MusAI projects that, in different ways, seek to innovate by developing critical kinds of engagement between the arts and technology. They counter the tendency of some art- and music-engineering collaborations to neuter critique of technoscience by instead engaging with critical themes from relevant humanities scholarship to inform artistic research using machine learning. Their work explores how composing with machine learning is contingent on the artists’ aesthetic backgrounds, engagement with human and non-human collaborators, and the processes of data-making themselves, probing issues often deemed external to the concerns of computer music: those of material engagement, musical labour, and distributed creativity.
Find out more and register here.
The event will be in-person and online. The in-person event will take place at PRiSM, Royal Northern College of Music & Manchester University. There are only 70 spaces available and they are offered on a first come, first serve basis upon registration.
The online event will be on Zoom and a link will be sent with your registration.
External event: The University of Aberdeen is a member of The Turing University Network, a network committed to offering UK universities the opportunity to engage and collaborate both with The Alan Turing Institute and its broader networks in academia, industry and the public sector. Discover more about the university becoming a member of The Turing University Network: Turing Universities Network | Research | The University of Aberdeen (abdn.ac.uk).