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

IF 0.2 3区 艺术学 0 MUSIC Organised Sound Pub Date : 2022-04-26 DOI:10.1017/S1355771822000097
Martin Ullrich, Sebastian Trump
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引用次数: 1

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.
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人类、非人类动物和人工智能之间的声音合作:超越人类世界的当代和未来美学
这篇文章概述了一个理论框架,允许概念上包括非人类动物和人工智能在人类声音合作。随着Donna Haraway和Bruno Latour的发展,质疑自然与文化之间绝对界限的后人文主义概念与当代非适应主义的进化美学融合在一起。因此,以人类为中心的非人类的“他者”让位于声音的超越人类社会性的概念。我们提出了一些理论命题,将社会参与的声音实践扩展到人类与非人类动物之间以及人类与人工智能之间的合作,然后通过分析声音艺术和音乐表演领域的一些现有项目来举例说明这种多物种声音合作。在从这些分析中得出一些更普遍的结论后,我们暗示了动物和人工智能创意机构之间潜在的美学和伦理相似性。最后,我们指出了一些我们认为对未来这种合作的高级设置很重要的问题,特别是当涉及到不同人工智能技术的组合以及未来动物-计算机交互的概念时,这些概念可能使非人类动物和人工智能创造性地合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
16.70%
发文量
38
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