AI/ML in the sonic arts: Pitfalls and pathways

Roddy, Stephen; Parmar, Robin

AI/ML in the sonic arts: Pitfalls and pathways

Files

Roddy and Parmar 2023 preprint.pdf(195.73 KB)

Accepted Version

Date

2023-12-01

Authors

Roddy, Stephen

Parmar, Robin

Publisher

University of California Press

Published Version

https://doi.org/10.1525/res.2023.4.4.399

Abstract

This commentary considers the application of Artificial Intelligence (AI) and Machine Learning (ML) technologies to music and the sonic arts. It critiques the classical computational theory of mind (CCTM), a doctrine deriving from functionalism, which codifies “mind” as a mathematical function symbolic representations from one dimension (mind) can be directly mapped onto another (world) in accordance with a given transfer function. Such a function is thought to be computable on either biological or mechanical hardware, thereby rendering the internal workings of thought irrelevant. This technocratic impulse has been used to sell AI & ML products as “magical” solutions, capable of ushering in Utopian futures. This viewpoint began with the foundation of computer science itself, as metaphors for computational processes were adopted without adequate grounding in the philosophy of mind. Computers were given attributes of human cognition as a teleological basis for investment in these technologies. Our current situa

Keywords

AI , Artificial Intelligence , Music , Machine learning , ML , Delia Beatriz , Moisés Horta Valenzuela , Metaphor

Citation

Roddy, S. and Parmar, R. (2023) 'AI/ML in the sonic arts - Pitfalls and pathways', Resonance: The Journal of Sound and Culture, 4(4), pp. 399-408. https://doi.org/10.1525/res.2023.4.4.399