Sonic Collaborations between Humans, Non-human Animals and Artificial Intelligences: Contemporary and future aesthetics in more-than-human worlds

Author:

ULLRICH MARTIN,TRUMP SEBASTIAN

Abstract

This article sketches a theoretical framework that allows the conceptual inclusion of non-human animals and artificial intelligences in human sonic collaborations. Post-humanist concepts that question the categorical divide between nature and culture, following Donna Haraway and Bruno Latour, converge with contemporary, non-adaptationist evolutionary aesthetics. Therefore, the anthropocentric ‘othering’ of non-humans gives way to a concept of a more-than-human sociality of sound. We offer some theoretical propositions for the extension of socially engaged sound practices to collaborations between humans and non-human animals and between humans and artificial intelligences, and then exemplify such multispecies sonic collaborations by analysing some existing projects from the fields of sound art and musical performance. After drawing some more general conclusions from these analyses, we hint at potential aesthetical and ethical parallels between animal and AI creative agency. Finally, we point out a few questions we see as important for future advanced settings of such collaborations, especially when it comes to assemblages of different AI technologies and to future concepts of animal–computer interaction that might enable non-human animals and artificial intelligence to cooperate creatively.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Music

Reference44 articles.

1. Actor-Networks in Music History: Clarifications and Critiques

2. Fiebrink, R. and Sonami, L. 2020. Reflections on Eight Years of Instrument Creation with Machine Learning. Proceedings of the International Conference on New Interfaces for Musical Expression. Birmingham: Birmingham City University, 237–42.

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