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

A novel interdisciplinary analytical method 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.

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.

The pipeline procedure outlining the methodological questions used in each phase of our proposed analytical method.

The paper is accessible via the following link: https://www.nature.com/articles/s41599-025-04533-4

Acknowledgements

This work was supported by the Wallenberg AI, Autonomous Systems and Software Programme—Humanities and Society (WASP-HS) funded by the Marianne and Marcus Wallenberg Foundation (Grant 2020.0102), by the Swedish Research Council (2019-03694), and the Marcus and Amalia Wallenberg Foundation.