The First International Conference in AI Music Studies
December 10-12 2024 Stockholm, Sweden
Location: Stallet Stallgatan 7, Stockholm (T) Kungsträdgården
Prospects, Challenges and Methodologies of Studying AI Music in the Humanities and Social Sciences
AI music (music generated by or with artificial intelligence technologies)
is now part of established music ecosystems. While only a few years ago such music was “on the fringe”, it is quickly becoming more present and moving into the mainstream due in large part to the commercial exploitability of the technology, what it produces for what it costs, and its growing public accessibility (complete with claims of “democratizing” music production and composition). The development and application of AI to music creation is attracting significant sums of money from private circles, not to mention considerable efforts in academic engineering circles; yet, perhaps with the exception of intellectual property (e.g., legal ownership) and ethics (e.g., responsible use), many topics of AI music remain by and large under-explored by critical examination and reflection in the humanities and social sciences. This motivates several key questions for critical analysis and reflection:
- How can the AI music ecosystem and its components be formally studied, and what considerations must be made to make sense of it?
- What challenges arise in the application of established disciplines, such as musicology or ethnomusicology?
- What are the prospects and challenges for AI Music Studies for the Humanities and Social Sciences in general?
- What is needed in terms of new methodologies for this area of study, and what interdisciplinary connections are required?
- How are copyright, and intellectual property more generally, being challenged by the emergent music ecosystem being populated by AI music?
- What are the implications of AI Music in terms of economic, environmental and sociocultural sustainability?
- What are perspectives from music ecosystems other than the hegemonial popular music ecosystem of the Global North?
- What are the positions of music cultures that so far remained largely outside of the digitalization of cultural data?
The First International Conference in AI Music Studies 2024 explores the prospects,
challenges and new methodologies required for the study of AI music within the Humanities and Social Sciences. It aims to bring into conversation scholars working in music computing, musicology, ethnomusicology, sound studies, science and technology studies, philosophy, ethics, economics, feminist and posthumanist studies to help define and develop, or even challenge the need for, a discipline of AI music studies. Further motivation for this conference comes from: B. L. T. Sturm, K. Déguernel, R. S. Huang, A. Holzapfel, O. Bown, N. Collins, J. Sterne, L. Cros Vila, L. Casini, D. Alberto Cabrera, E. A. Drott, and O. Ben-Tal, “MusAIcology: AI Music and the Need for a New Kind of Music Studies.” SocArXiv, 2024.
Financial support for the conference comes from:
- Riksbankens Jubileumsfond
- Kungliga Musikaliska Akademien
- ERC-2019-COG No. 864189 MUSAiC: Music at the Frontiers of Artificial Creativity and Criticism
Keynote Speaker
The keynote speaker of the first conference is Dr. Georgina Born, Professor of Anthropology and Music at University College London.
Schedule
Accepted panel
- “How is copyright being challenged by the music ecosystem emerging around AI music”, with Séverine Dusollier, Eric Drott, Anna-Kaisa Kaila, Ollie Bown and Georgina Born
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Accepted papers
- Nick Collins, Mick Grieson: Avoiding an AI-imposed Taylor’s Version of all music history
- Ken Déguernel, Petter Ericson, Babtiste Bacot: Music Generative Ai as a pharmakon
- Calvin Peck: AI, Copyright Law, and Musical Modernism’s Authorial Collapse
- Emmie Head: Composing Capital and the Commodification of Copyright in Generative AI Models
- Veronika Muchitsch: “I Wanna Be Software”. Methodological and theoretical considerations of AI voice software in popular music
- Marilia Santos, Ivan Simurra: Music, Humans, and Machines: Reflections on Collaborative Processes Between Humans and Machines for Artistic and Cultural Interventions with Brazilian Music
- Artemi-Maria Gioti: The Musical Aesthetics of Machine Learning
- Kate Mancey: “Feels Icky”: Analysing vernacular understanding of music-AI through The Beatles’ “Now and Then”
- Liam Pram, Fabio Morreale: Accessing Musical Creativity: Embedded Ideologies in Generative-AI Music Tools
- Oliver Bown: Computational Creativity Meets the Commercial Creative AI Revolution
- Nicola Privato: AI Hauntology and the Hauntographic Method
- Emily Hansell Clark: How AI Hears Musical Difference: A Critical Epistemological Approach to AI-Generated “Traditional” and “World” Music
- Yiren Zhao: Rethinking “authenticity” in AI-generated metal music: A musicological perspective
- Craig Vear, Fabrizio Poltronieri: Musicking with Solaris – a systematic musicology method to identifying relationship building, togetherness and meaning-making in human-AI co-creativity.
- Steve Benford, Marco Amerotti, Bob L. T. Sturm and Craig Vear: Performing with AI as a Practice-led Methodology for AI Music
- Alex Rehding: J.S. Bach, Musicology/Music Theory, and AI: Convergences and Divergences Between Disciplines
- G Douglas Barrett: The Last Invention: AI and Recursion in Yasunao Tone’s AI Deviation
- Ravi Krishnaswami and Michael Clemens: Building My Replacement: Experimental Methods in Evaluating Generative Music Systems
- Michèle Duguay and Johanna Devaney: Representations of Gender and Voice in Music Language Models and Datasets: A Critical Examination of the Gender Binary in MusicLM and MusicCaps
- Alexandra Huang-Kokina: Artificial ‘Emotional’ Intelligence: AI perspectives on multimodal emotional transmediation in contemporary science-fiction opera
- Nico Daleman: Sound Art Installation and Artificial Intelligence
- Ritwik Banerji: Breaking the Monolith of Performative Humanness
- Matthew Blackmar: Vocal Deepfakes and The New Rhetorical Strategies of The Online Copyright Debate: “Clean” Data, Content “Creators,” and Popular-Music Participatory Cultures in The Era of AI
- Mattia Merlini: From AI to 4E: A Reflective Turn in Musicology to Overcome Dualist, Romantic and Cognitivist Prejudices
- Qianyi Sun and Claire Arthur: An Interdisciplinary Approach to Evaluating Generative Music Systems with Musicologically-Informed Quantitative Metrics
- Landon Morrison and Andrew McPherson: Critical (Post-)Humanist Perspectives on “Disentangled” Representations in AI Music
- Elin Kanhov, Luca Casini, Bob L. T. Sturm: An Ethnography of the Boomyverse
- Paula Harper, Leaks, Scams, Shams: AI and Musical Misinformation
Conference registration
Link
Early registration (up to Aug 30 2024): 2000 SEK + 750 SEK for conference dinner
Late registration: 3000 SEK + 750 SEK for conference dinner
Please send questions or comments to aimusicstudies2024@kth.se.
Organising Committee
Steering Committee
- Toivo Burlin (Stockholm University)
- Jan-Olof Gullö (KMH, Stockholm)
- Hans Lindetorp (KMH, Stockholm)
- Georgina Born (University College London, UK)
- Oded Ben-Tal (Kingston University, UK)’
- Nick Collins (Durham University, UK)
- Ken Déguernel (Univ. Lille, CNRS, France)
- Martin Clancy (Centre for Digital Humanities, Trinity College Dublin, Ireland)
- Eric Drott (University of Texas, USA)
- Thomas Hodgson (University of California, Los Angeles, USA)
- Jonathan Sterne (University of McGill, Canada)
- Rujing Stacy Huang (The University of Hong Kong, Hong Kong)
- Ollie Bown (UNSW Sydney, Australia)
- Craig Vear (University of Nottingham, UK)
Archive
Call for presentations, panels and workshops
We are seeking presentations, panels and workshops for the conference. Each presentation will be given 20 minutes in a session, and each session will conclude with a podium discussion of its presented works. Each panel will have 3-5 participants, and last at least 60 minutes with audience discussion. A workshop consists of two hours of directed work and discussion around a topic. To submit a presentation, please write an abstract of no more than 300 words about your work and how it relates to the core themes of the conference. For panels, please write a description of the topics to be discussed and composition of the panel. For workshops, please write a description of the topics to be worked with, a schedule, and information on the workshop leaders. Email these to aimusicstudies2024@kth.se by the date below.
Dates
- Presentation/Panel/Workshop Submission: March 28 2024
- Decision Notification: April 26 2024
- Early Conference Registration: August 30 2024