Imploding between the facts and concerns: analysing human–AI musical interaction
Journal article, 2025

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.

Author

Kelsey Cotton

University of Gothenburg

Data Science and AI 3

Anna Kaisa Kaila

Royal Institute of Technology (KTH)

Petra Jääskeläinen

Royal Institute of Technology (KTH)

André Holzapfel

Royal Institute of Technology (KTH)

Kivanc Tatar

Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI

University of Gothenburg

Humanities and Social Sciences Communications

26629992 (eISSN)

Vol. 12 1 754

Subject Categories (SSIF 2025)

Other Social Sciences

Arts

Computer and Information Sciences

DOI

10.1057/s41599-025-04533-4

More information

Latest update

6/12/2025