Music, Art, Machine Learning, and Standardization

Abstract

Abstract This paper explores current and hypothetical implementations of machine learning toward the creation and marketing of cultural commodities, focusing on music in popular and experimental forms. Building on Adorno and Horkheimer's critique of the culture industry, this article considers the role of machine learning and artificial intelligence as a force for stylistic standardization and further consolidation of economic power in music and art.