Open Source: Exploring AI bias through music composition
Membership plan: Going Deeper | Topics: Music Production
Course overview
In this talk and Q&A, Artemi-Maria Gioti discusses her latest compositions for acoustic instruments and AI-based interactive music systems, with a focus on her "Bias" cycle. This cycle critically engages with Machine Learning algorithms and training datasets, questioning the concept of generalisability while emphasising the materiality of data. She explores how artistic research in composition can offer critical insights into AI, contribute to critical literature on the subject, and examine the aesthetic implications of this practice-based research approach.
Who is this session for?
- Those interested in innovative approaches to music composition, particularly involving acoustic instruments and AI.
- Individuals studying music technology, artificial intelligence, machine learning, and digital arts.
Session materials and Zoom link
- Open Source Talk
Requirements
- An Internet Connection
Course schedule
Meet your instructor
Artemi-Maria Gioti is a composer and artistic researcher specializing in Music and Artificial Intelligence (AI). She is a Lecturer in New Media and Digital Technologies for Music at the University of Music "Carl Maria von Weber" Dresden and a Research Fellow in Music and AI at University College London, working on the ERC project MusAI. Her work focuses on interactive compositions involving real-time interaction between musicians and AI systems. She studied Composition and Computer Music in Greece and Austria, earning a doctoral degree from the University of Music and Performing Arts Graz. Her music has been performed by notable ensembles and soloists, and she has received several awards, including an Honorary mention at the Prix Ars Electronica 2023.
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