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; and B. L. T. Sturm, K. Déguernel, R. Stacy Huang, A.-K. Kaila, P. Jääskeläinen, E. Kanhov, L. Cros Vila, D. C. Dalmazzo, L. Casini, O. R. Bown, N. Collins, E. Drott, J. Sterne, A. Holzapfel, and O. Ben-Tal “AI Music Studies: Preparing for the Flood”, in Proc. AI Music Creativity, 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
Quick links
Conference registration
Registration is now closed.
Keynote Speaker
The keynote speaker of the first conference is Dr. Georgina Born, Professor of Anthropology and Music at University College London.
How to Found a New Field – or, Music’s Challenges to AI Studies
Abstract: This First International Conference in AI Music Studies aims to inaugurate a new field. It is accompanied by a paper asking: ‘is a new kind of music studies needed’ to analyse AI music? These initiatives raise not only what impact AI is having on music, but how music changes the way we think about AI. In this synoptic keynote I pursue these questions, taking three angles on the challenges posed by AI to music and music to AI, each condensing wider realms of debate. Rather than start afresh, I follow classical media theory in breaking down the communicative process into three analytical moments: creation or production; curation and reception; and the question of the object itself, AI-mediated music. Each such moment of AI music has drawn attention and concern, though the effect can be a fragmentation of perspective, a becoming-stuck in particular sets of issues – something the interdisciplinarity of AI studies has not impeded. One of the less discussed yet major dimensions of human life put on the agenda by AI music is aesthetics: aesthetics as a feature of musical creativity and imagination that comes immanently to be vested in the musical object – performance, work, track or ‘song’; and aesthetics as a quality of musical reception. Thus, if the global debates on AI have been transfixed by ethics, then AI music studies bring to the table an urgent and transformative concern with aesthetics and, more broadly, expressive cultures. A focus on aesthetics and creativity, however, means also addressing the conditions that bear on them, posing the imperative to overcome the gap between, say, analyses of the political ecology and political economy of AI and their effects on musical experience. In this light, my lecture will proceed by examining: in relation to creation and production, questions of aesthetic value and of vernacular creativity; in relation to curation and reception, recommendation, personalization and the shaping of aesthetic subjectivities; and in relation to the object itself, how AI is propelling the evolution of music’s ontologies. Among the writers with whom the lecture will be in dialogue are Hayles’s (2017) idea of the cognitive nonconscious, Prey’s (2017), and Lury and Day’s (2019) accounts of personalization and recommendation, and Wilf’s (2023) portrayal of computational creativity in jazz. To found a field of AI music studies, I suggest, necessitates taking stock synoptically in this kind of way, utilising the rich critical resources of the humanities and social sciences to probe the speculative leaps of technology and discourse that otherwise go unchallenged. But equally, it means holding up paradigms from the social sciences and humanities forged in earlier mediatised eras and retuning them for the AI music present.
Schedule
- AIMGC 2023 Submission: Sky Shanties (Laura Cros Vila)
- “Adaptive Elusion” by Palle Dahlstedt for piano and electronics
- AIMGC 2023 Submission: K I L L J E S T E R (Ken Déguernel)
- “ÎmPACarE” by Catalina Popa-Mörck for flute, voice and AI-generated interactive improvisation (Somax2)
- AIMGC 2023 Submission: Xenomusic 1, 4, 13 (Nick Collins)
- “Stilla Liv” by Reine Jönsson for piano performed by Love Derwinger
- AIMGC 2023 Submission: Service religieux célébrant Saint-Isidore de Séville (extrait) (Bob L. T. Sturm)
- “The Odd Couple - Human & AI Making Music in the Moment” for piano and AI improvisor performed by David Dolan and Oded Ben-Tal
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
Accepted papers
- Nick Collins, Mick Grierson: 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
- 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
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