[ PANEL DISCUSSION : ARTIFICIAL INTELLIGENCE ]

ABSTRACT
This session explores how artificial intelligence is transforming the spatial and structural dimensions of music creation. It brings together perspectives on AI-generated spatialisation, machine listening, and the compositional strategies emerging at the intersection of algorithmic processes and three-dimensional sound design. We welcome submissions that investigate AI’s role in augmenting spatial awareness in performance and composition, including approaches that situate sound within physical architecture, virtual environments, or hybrid spatial systems. Cross-disciplinary contributions from artists, coders, spatial practitioners, and theorists are encouraged, particularly those that question authorship, agency, and the emergent aesthetics of AI-informed spatial music.Â
PANEL DISCUSSION
WEDNESDAY 5 NOV at 11:00 – 12:30
Pool Street Cinema
PANEL MEMBERS
REBECCA FIEBRINK
University of the Arts, London
Rebecca Fiebrink is a Professor of Creative Computing at the UAL Creative Computing Institute. Together with her students and research assistants, she works on a variety of projects developing new technologies to enable new forms of human expression, creativity, and embodied interaction. Much of her current research combines techniques from human-computer interaction, machine learning, and signal processing to allow people to apply machine learning more effectively to new problems, such as the design of new digital musical instruments and gestural interfaces for gaming and accessibility. She is also involved in projects developing rich interactive technologies for digital humanities scholarship, and advancing machine learning education.
MARK SANDLER
Queen Mary University, London Professor Mark Sandler, FREng, is Professor of Signal Processing and Director of the Centre for Digital Music in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). In a career spanning several decades, he has mostly worked on signal processing for audio and music, latterly with an emphasis on Deep Learning. He has been active in Digital Audio and Music research since the late 1970’s when he started his PhD in Digital Audio Power Amplifiers. Since then he has published well over 500 papers across many topics in digital audio and computer music, including drum synthesis, fractal and chaotic models of sound, one-bit audio signal processing, chord and key estimation, piano transcription, source separation and Semantic Web for music. His most recent interest is in understanding how Deep Learning works, situating this research within a field he calls Artificial Neuroscience – the neuroscience of artificial brains – a paradigm among to bring rigour to the gold-rush that characterises much current applied AI research. He is also a Fellow of the Institution of Engineering and Technology (IET), Fellow of the Audio Engineering Society and a Life Fellow of the Institute of Electrical and Electronics Engineers. 🔗ARTEMI GIOTTI
Mozarteum University, Salzburg Artemi-Maria Gioti is a composer and artistic researcher conducting critical research at the intersection of music and artificial intelligence (AI). She is Professor of Artistic Research in Music at Mozarteum University Salzburg. Her compositional work focuses on interactive works involving reciprocal, real-time interaction between human performers and computer music systems incorporating machine learning (ML). Through this practice, she explores how technology reconfigures musical practices and ontologies, such as authorship and the musical work. Her research brings autoethnographies of the compositional process into dialogue with theoretical frameworks from critical AI and critical data studies, to investigate questions of data materiality, data semiotics and ML epistemology. Gioti is a core team member of the ERC-funded project Music and Artificial Intelligence: Building Critical Interdisciplinary Studies (MusAI), led by Georgina Born. She previously served as the Principal Investigator of the FWF-funded research project Inter_agency. She holds a doctoral degree in Music Composition from the University of Music and Performing Arts Graz with previous studies in Composition, Electroacoustic Composition and Computer Music at the University of Macedonia (Greece), the University of Music and Performing Arts Vienna and the University of Music and Performing Arts Graz (Austria). Her music has been performed by ensembles such as Klangforum, DissonArt, Schallfeld, AuditivVokal, Insomnio, Sond’Arte, and soloists such as Xenia Pestova-Bennett, Magda Mayas, Jana Luksts, Evan Runyon, Johan Soderlund, Jelte van Andel and Joel Diegert. Her artistic and scholarly work has been distinguished with an Honorary mention at the Prix Ars Electronica 2023, the 2019 Giga-Hertz Production Award for Electronic Music (ZKM, Karlsruhe), the Austrian State Scholarship for Composition, the Best Practice Award of the Artistic-Scholarly Doctoral School of the University of Music and Performing Arts Graz, as well as fellowships of the John S. Latsis Foundation and the Greek National Scholarship Foundation. Her previous academic appointments include positions at the University of Music “Carl Maria von Weber” Dresden (Germany), UCL’s Anthropology Department (UK) and the Institute of Electronic Music and Acoustics (IEM) of the University of Music and Performing Arts Graz (Austria). 🔗TOMMIE INTRONA
Serpentine Arts Technologies, London
Tommie Introna is R&D Platform Producer within the Arts Technologies team at Serpentine (London, UK). He works on Serpentine’s Future Art Ecosystems projects, which seek to build 21st-century cultural infrastructure to support art and advanced technologies for the public good. Previously, he was co-founder and director of Black Shuck Co-operative, an artist-run production company specialising in experimental media and technologies. Tommie has a long history of involvement in educational and community-based projects, including at South London Gallery, A New Direction, and Auto Italia.