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MusAI Research Programme X The Alan Turing Institute Seminar Series

Seminar 1: Re-Engineering Recommendation 鈥� Prototyping Radical Interdisciplinarities, The Alan Turing Institute, London

Georgina Born,听Fernando Diaz,听Jenny Judge

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The first seminar, 鈥楻e-Engineering Recommendation 鈥� Prototyping Radical Interdisciplinarities鈥�, is led by Georgina Born (UCL Anthropology), Fernando Diaz (Computer Science, Carnegie Mellon University) and Jenny Judge (Philosophy, University of Melbourne). It presents the MusAI research on re-designing AI-based recommendation systems curating music and other cultural content on the basis of public interest principles.

Seminar 2: Music, Copyright & Generative AI: Social, Ontological & Legal Perspectives, Inspace, University of Edinburgh, Edinburgh

Georgina Born,听,听

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Seminar 3: AI and Practice-Based Research in Music and the Arts, PRiSM, Royal College of Northern Music, Manchester

Georgina Born,听Aaron Einbond,听Artemi-Maria Gioti

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In this third seminar of the MusAI series of 4 public seminars held in collaboration with the 鈥楢I and the Arts鈥� 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鈥� 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.

Seminar 4: Towards Radically Interdisciplinary AI Pedagogies, The Alan Turing Institute, London

Georgina Born,听Owen Green,听Oliver Bown,听Rebecca Fiebrink

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鈥淭owards Radically Interdisciplinary AI Pedagogies鈥� is the fourth in a series of 4 public seminars taking critical and creative perspectives on the current state of AI in music; it is organised by the MusAI research programme in collaboration with the 鈥楢I and the Arts鈥� group at The Alan Turing Institute. In this final seminar, Rebecca Fiebrink, Oliver Bown and Owen Green draw on findings from the MusAI programme (introduced in the previous three seminars) to present a series of conceptual and practical proposals for prototyping radically interdisciplinary AI pedagogies. Such pedagogies will recognise the need for trainings in critical thinking among future engineers designing AI systems, and for thoroughgoing understandings of AI鈥檚 social and cultural dimensions. It is now well established that any attempt to reform AI must address the trainings facing coming generations of computer scientists, as well as non-computer-scientists involved with AI. We will share our experiences of teaching artists, musicians, and other practitioners about machine learning in classroom and collaborative contexts, and we invite and welcome wide-ranging discussion with others addressing similar challenges.

Keynotes

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#BEYONDconf, London, 21 December 2023

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Generative AI and the Creative Industries: A Conversation

Chris Speed, Lara Carmona,听Oliver Bown, Rachel Lyske

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Performing Critical AI I: feedback, noise, corpus, code

Cafe OTO, London, 27 November 2022

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Feedback Cell featuring Ollie Bown

Alice Eldridge & Chris Kiefer (feedback cellos), Ollie Bown (CTRNNs)

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