Recurring patterns: An ethnographic study on the adoption of AI music tools by practitioners of electroacoustic, contemporary and popular musics

Abstract

The intersection of artificial intelligence (AI) and art has been a topic of great interest in recent times. Driven by greater visibility of accessible AI applications within mainstream media, artists have increased their uptake of such tools as means of exploring and expanding their creative expressions. With the music industry also displaying similar levels of curiosity for AI tools, practitioners and audiences voice diverging opinions on the topics of artistic authenticity, creative labour and the threats posed by thinking machines on the future of musicians’ careers. This article aims to explore these topics through an ethnographic study conducted through interviews with five composers active in the areas of electroacoustic music, contemporary composition and experimental electronic music. The discussions reveal some of the software and methodologies currently popular among composers, the challenges faced and avenues presented when adopting AI tools, as well as the attitudes and discourse that permeate the niche circles of AI-generated music. The findings point towards the swift uptake of new technologies by curious artists and the slow development of trust in AI applications by traditionalist makers and listeners, suggesting a continuation of the patterns of behaviour evident since the emergence of music technology.