About this Event
Music and Artificial Intelligence: Building Critical Interdisciplinary Studies
We are delighted to announce the final seminar in a series of 4 public seminars taking critical and creative perspectives to the current state of AI in music and related arts. The seminars air the work of the research programme ‘Music and AI: Building Critical Interdisciplinary Studies’ (MusAI). The MusAI research team is an international one and the programme is based at the Institute of Advanced Studies and Department of Anthropology, UCL, with links to the Max Planck Institute for Empirical Aesthetics, KTH Royal Institute of Technology, the University of New South Wales, Carnegie Mellon University, the University of Birmingham, City, University of London, and Kings College London.
Date and time: Tuesday 6th February 2024, 4-6 pm
Location: 1st floor British Library, The Alan Turing Institute, British Library, 96 Euston Rd., London NW1 2DB + online
Title: Towards Radical Interdisciplinary AI Pedagogies
Presenters:
*Rebecca Fiebrink (University of Arts, London)
*Owen Green (Max Planck Institute for Empirical Aesthetics; UCL)
*Oliver Bown (University of New South Wales, Sydney)
Abstract:
Rebecca Fiebrink, Oliver Bown and Owen Green draw on findings from the MusAI research 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’s 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. This is acknowledged in calls for new interdisciplinary pedagogies designed to enable future practitioners to be cognisant of AI’s social and ethical implications. We suggest that AI’s social and cultural dimensions cannot be understood as mere ‘contexts’ surrounding otherwise formal technical systems; nor can they be satisfactorily grasped by adding ‘ethics’ into computer science trainings. We propose that future computer scientists should be introduced to the idea that algorithmic systems are better understood as hybrid ‘sociotechnical systems’, and as imminently encultured. We suggest too that new approaches to teaching broader audiences – notably artists – are crucial to ensuring that non-computer-scientists are better able to make informed decisions about using and critiquing AI. We will share our experiences of teaching artists, musicians, and other practitioners about machine learning in classroom and collaborative project contexts, and we welcome wide-ranging discussion.
The seminar is free and open to the public, both in person and via Zoom. Registration is essential. Please join us for what promises to be a lively seminar, with considerable space for discussion and networking.
Background
From January 12th to March 1st 2024, the ‘AI and the Arts’ interest group at the Turing Institute is collaborating with the ERC-funded MusAI research programme on the delivery of four public seminars airing the research of the MusAI programme. MusAI (Music and AI: Building Critical Interdisciplinary Studies) is the first major research initiative to address the implications of AI for culture. It takes music as the medium through which to create a field of critical studies indicative of AI’s wider influence on culture, and it does so by cultivating a radical interdisciplinarity spanning the arts, social sciences and humanities, on the one hand, and computer science and engineering, on the other.
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Click below for more information about the MusAI Research Programme:
https://musicairesearch.wordpress.com/
https://twitter.com/MusAIproject
https://www.youtube.com/channel/UCWk57YU_GtKQY8Y1Uml-8sQ
And for information about The Alan Turing Institute, AI & Arts Interest Group:
https://www.turing.ac.uk/research/interest-groups/ai-arts
Thank you for registering for this event, using the Eventbrite booking platform. The event is being co-organised by the MusAI research programme and the AI and Arts at The Alan Turing Institute. The Turing will process the personal data you have submitted for the purposes of registration and staging the event, and in accordance with our Privacy Notice https://www.turing.ac.uk/privacy-policy. You can view the Eventbrite privacy notice at https://www.eventbrite.com/help/en-us/articles/460838/eventbrite-privacy-policy/
Event Venue & Nearby Stays
1st floor British Library, The Alan Turing Institute, 96 Euston Road, London, United Kingdom
USD 0.00
