Consciously Creating Music with AI
DOI:
https://doi.org/10.54103/2039-9251/32304Keywords:
artificial intelligence, music compositionAbstract
This article aims to highlight an exemplary case of artificial intelligence in music, where this technology has been
applied with rigor: the album Chain Tripping by the American band YACHT. After a brief introduction to the history
of technological innovations in music and some biographical information about the band members, we will examine
the tools and methodology used to compose this work, which has an atypical genesis. In particular, the focus is on
the open-source tools from the Google Magenta project, the training process for the artificial intelligence specifically
created to compose Chain Tripping, and the compositional rules established by the band to achieve a coherent result,
concluding with some reflections drawn from an interview with Claire L. Evans, the band’s lead vocalist and a key
member.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Simone Tencaioli
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The authors who publish in Itinera are required to accept the following conditions:
1. The authors retain the rights on their paper and lincese the journal the right of first publication. The paper is also licensed under a Creative Commons License, which allows others to share it, by indicating intellectual authorship and its first publication in Itinera.
2. Authors may adhere to other non-exclusive license agreements for the distribution of the published version of the paper (ex. deposit it in an institutional archive or publish it in a monograph), provided that its first publication in Itinera is indicated.
3. Authors can disseminate their paper online (ex. in institutional repositories or on their website) before and during the submission process, since this can lead to productive exchanges and increase quotations of the published work (See “The Effect of Open Access”).
