One month to go! Special Issue of Computer Music Journal on Musical Interactivity in Human-AI and AI-AI Partnerships

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Bob Sturm

Dec 1, 2022, 8:44:52 AM12/1/22
to Magenta Discuss, Computational Creativity Forum

(sorry for cross-posting)

Call for Submissions for the Special Issue of Computer Music Journal on Musical Interactivity in Human-AI and AI-AI Partnerships

Guest Editors:
Ken Déguernel (lead), postdoctoral researcher in music and AI, KTH (Sweden) + Research fellow in Computer Science at CNRS (France) (starting Jan 2023)
Bob L. T. Sturm, Associate Professor of Computer Science, KTH (Sweden)
Artemi-Maria Gioti, Research Fellow in Music and AI, UCL (UK) & Lecturer in New Media and Digital Technologies for Music, University of Music Dresden (Germany)
Georgina Born, Professor of Anthropology and Music, Department of Anthropology & Institute of Advanced Studies, University College, London (UK)

- Submission deadline: 31 December 2022
- Initial online publication of articles: Mid 2023 (individually, soon after each is accepted, with subsequent updates incorporating the Journal's editing and formatting)
- Expected publication of issue: December 2023

Focus: Musical Interactivity in Human-AI and AI-AI Partnerships

There are currently a number of special journal issues (published or seeking contributions) centered on the topic of music and artificial intelligence (AI), showing an ever-growing interest in that field. For instance:

We are proposing yet another special issue, but focused on human-AI and AI-AI interactions and partnerships within musical contexts. It aims to cover a broad range of topics, from music generation to performance, music analysis, and technological ethics, and to bring together state-of-the-art research from the engineering sciences with emerging artistic practices and critical perspectives from the humanities, in order to bridge the technical, aesthetic and theoretical underpinnings of music AI. Accepted articles of this special issue will address how humans can/could/should interact with and use AI, and how these interactions shape and impact creative and artistic musical practices (and vice versa).

Of particular interest are: how interactions with AI can help one understand, inform, evaluate, and/or model creative processes (e.g., performance, composition, improvisation, audience appreciation, and music recommendation); the unique challenges that arise from human-AI and AI-AI interactions; ethical implications of applying AI to music in regards to different practices, different genres, and different target audiences; critical perspectives from the humanities and social sciences on the methods, contexts, and purposes underpinning uses of AI; novel applications and methods of interactions with AI in music, from creative-support tools to multi-agent systems, leading to new human-AI or AI-AI co-creative partnerships for all kinds of musicking: music generation, performance, rehearsal, production, listening, and so on; and also beyond that, for applications such as music analysis or music criticism by AI regarding learned or discovered aesthetic criteria.

In summary, we invite original submissions that address, but are in no way limited to, the following topics:

  • Interfaces for human-AI and AI-AI interactions
  • Multimodal interaction
  • Understanding and modeling of creative music processes through AI partnership
  • Musical authorship, labor, and agency in human-AI music-making
  • Music analysis and criticism by computers
  • Unique challenges relating to the interaction with and in between AIs for music
  • Relationship between artistic practices and AI
  • Ethics of applying AI to music
  • Explainability and transparency in music AI
  • Critical approaches to music AI.

Submission instructions:
Manuscripts should follow the guidelines of Computer Music Journal ( Queries and manuscripts should be emailed directly to the guest editors (,,, with the subject line "CMJ AI Music Special Issue".

Bob L. T. Sturm, Associate Professor
Speech, Music and Hearing
School of Electronic Engineering and Computer Science
Royal Institute of Technology KTH, Sweden
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