Imploding between the facts and concerns: analysing human–AI musical interaction
Artikel i vetenskaplig tidskrift, 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.

Författare

Kelsey Cotton

Göteborgs universitet

Data Science och AI 3

Anna Kaisa Kaila

Kungliga Tekniska Högskolan (KTH)

Petra Jääskeläinen

Kungliga Tekniska Högskolan (KTH)

André Holzapfel

Kungliga Tekniska Högskolan (KTH)

Kivanc Tatar

Chalmers, Data- och informationsteknik, Data Science och AI

Göteborgs universitet

Humanities and Social Sciences Communications

26629992 (eISSN)

Vol. 12 1 754

Ämneskategorier (SSIF 2025)

Annan samhällsvetenskap

Konst

Data- och informationsvetenskap (Datateknik)

DOI

10.1057/s41599-025-04533-4

Mer information

Senast uppdaterat

2025-06-12