The use of artificial intelligence in music creation: between interface and appropriation

TL;DR

This paper analyzes how musicians and sound designers perceive and adapt to AI tools in music creation, using lexicometric analysis to explore their representations, challenges, and future possibilities in human-AI musical collaboration.

Contribution

It introduces a lexicometric approach within the Human-AI Musicking Framework to study artists' perceptions and challenges with AI in music, highlighting new mediations and appropriation issues.

Findings

Identifies obstacles to AI integration in music creation.

Highlights new mediations enabled by AI tools.

Explores future directions for human-AI musical collaboration.

Abstract

By observing the activities and relationships of musicians and sound designers to the activities of creation, performance, publishing and dissemination with artificial intelligence (AI), from two specialized forums between 2022 and 2024, this article proposes a lexicometric analysis of the representations linked to their use. Indeed, the machine, now equipped with artificial intelligences requiring new appropriations and enabling new mediations, constitutes new challenges for artists. To study these confrontations and new mediations, our approach mobilizes the theoretical framework of the Human-AI Musicking Framework, based on a lexicometric analysis of content. The aim is to clarify the present and future uses of AI from the interfaces, in the creation of sound and musical content, and to identify the obstacles, obstacles, brakes and limits to appropriation ``in the fact of making the content one's own and integrating it as a part of oneself'' (Bachimont and Crozat, 2004) in the context of a collaboration between musician and machine.