Imploding between the facts and concerns: analysing human–AI musical interaction

Kelsey Cotton (), Anna-Kaisa Kaila, Petra Jääskeläinen, André Holzapfel and Kıvanç Tatar
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Kelsey Cotton: Chalmers Institute of Technology and University of Gothenburg
Anna-Kaisa Kaila: KTH Royal Institute of Technology
Petra Jääskeläinen: KTH Royal Institute of Technology
André Holzapfel: KTH Royal Institute of Technology
Kıvanç Tatar: Chalmers Institute of Technology and University of Gothenburg

Palgrave Communications, 2025, vol. 12, issue 1, 1-20

Abstract: Abstract The advancement of AI-tools for musical performance has inspired exciting opportunities for interaction with musical-AI-agents. Interactions between humans and AI-agents in musical settings entail dynamic exchanges of control and power, and framings of AI-agents’ roles by human performers. We probe these framings and power-control exchanges through qualitative thematic lenses, drawing from post-phenomenology, matters of fact and concern and feminist science and technology studies. We contribute with a novel interdisciplinary analytical method as a tool for developers and designers of AI systems to help visibilise and examine the implicit, the wider connections and entangled filaments in Human–AI musical interactions.

Date: 2025
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DOI: 10.1057/s41599-025-04533-4

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