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

Author

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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)

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.

Suggested Citation

  • Kelsey Cotton & Anna-Kaisa Kaila & Petra Jääskeläinen & André Holzapfel & Kıvanç Tatar, 2025. "Imploding between the facts and concerns: analysing human–AI musical interaction," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-20, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04533-4
    DOI: 10.1057/s41599-025-04533-4
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    References listed on IDEAS

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    1. Morgan R. Frank & David Autor & James E. Bessen & Erik Brynjolfsson & Manuel Cebrian & David J. Deming & Maryann Feldman & Matthew Groh & José Lobo & Esteban Moro & Dashun Wang & Hyejin Youn & Iyad Ra, 2019. "Toward understanding the impact of artificial intelligence on labor," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(14), pages 6531-6539, April.
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