Artificial Intelligence in Music Composition and Production

This article examines the role of artificial intelligence in the process of music composition and production. It explores the evolving relationship between human creativity and AI-based systems, analyzing their practical applications in compositional workflows, sound design, structural modeling, and production environments. The study discusses both the technological foundations of contemporary AI tools — including machine learning models and generative systems — and their aesthetic, philosophical, and authorship-related implications. Rather than treating artificial intelligence as a substitute for the composer, the article frames AI as an advanced cognitive and technological extension of the creative process. The text combines theoretical reflection with insights drawn from artistic practice in electroacoustic and electronically mediated music. Polish version title:Zastosowanie AI w procesie komponowania i realizacji utworu muzycznego. Both Polish and English language versions of the article are included in this record. This publication is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. The project was co-financed by the European Union's NextGenerationEU fund as part of the National Recovery Plan.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-26
DOI
https://doi.org/10.5281/zenodo.18787415
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Music Composition and Production

Dariusz Mazurowski
Zenodo (CERN European Organization for Nuclear Research)
Music Technology and Sound Studies
article

Artificial Intelligence in Music Composition and Production

Dariusz Mazurowski
article en

Abstract

This article examines the role of artificial intelligence in the process of music composition and production. It explores the evolving relationship between human creativity and AI-based systems, analyzing their practical applications in compositional workflows, sound design, structural modeling, and production environments. The study discusses both the technological foundations of contemporary AI tools — including machine learning models and generative systems — and their aesthetic, philosophical, and authorship-related implications. Rather than treating artificial intelligence as a substitute for the composer, the article frames AI as an advanced cognitive and technological extension of the creative process. The text combines theoretical reflection with insights drawn from artistic practice in electroacoustic and electronically mediated music. Polish version title:Zastosowanie AI w procesie komponowania i realizacji utworu muzycznego. Both Polish and English language versions of the article are included in this record. This publication is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. The project was co-financed by the European Union's NextGenerationEU fund as part of the National Recovery Plan.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 44%
Music Technology and Sound Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.