Music and Artificial Intelligence: Artistic Trends
Jordi Pons, Zack Zukowski, Julian D. Parker, CJ Carr, Josiah Taylor, Zach Evans

TL;DR
This paper provides a comprehensive overview of how musicians utilize artificial intelligence across various formats, highlighting emerging trends, innovative applications, and the challenges faced by AI-driven music creation.
Contribution
It categorizes 337 AI-involved music artworks and identifies novel uses of AI in music, such as exploring aesthetics and new formats like online installations.
Findings
AI used as a co-creative tool and artistic medium
Innovative AI applications include uncanny aesthetics and multilingual releases
Emerging formats include online installations and live performances
Abstract
We study how musicians use artificial intelligence (AI) across formats like singles, albums, performances, installations, voices, ballets, operas, or soundtracks. We collect 337 music artworks and categorize them based on AI usage: AI composition, co-composition, sound design, lyrics generation, and translation. We find that AI is employed as a co-creative tool, as an artistic medium, and in live performances and installations. Innovative uses of AI include exploring uncanny aesthetics, multilingual and multigenre song releases, and new formats such as online installations. This research provides a comprehensive overview of current AI music practices, offering insights into emerging artistic trends and the challenges faced by AI musicians.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMusic Technology and Sound Studies
