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

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.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-06-03
DOI
https://doi.org/10.1057/s41599-025-04533-4
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Anna-Kaisa Kaila, André Holzapfel, Petra Jääskeläinen, Kelsey Cotton et al.
Humanities and Social Sciences Communications
Music Technology and Sound Studies
article

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

Anna-Kaisa Kaila, André Holzapfel, Petra Jääskeläinen, Kelsey Cotton, Kıvanç Tatar
article en

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.

Humanities and Social Sciences CommunicationsVol. 12(1)
Chalmers University of Technology (SE), KTH Royal Institute of Technology (SE)
Vetenskapsrådet, Göteborgs Universitet, Marcus och Amalia Wallenbergs minnesfond
Openalex Percentile: Top 89%
Music Technology and Sound Studies
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