人类规范制约的悖论:艺术人工智能与文学创作

IF 0.5 0 LITERARY THEORY & CRITICISM CounterText-A Journal for the Study of the Post-Literary Pub Date : 2022-08-01 DOI:10.3366/count.2022.0270
Hannes Bajohr
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引用次数: 2

摘要

近年来,以随机机器学习模型形式出现的人工智能在艺术作品中的应用越来越多。然而,如果这样的“艺术人工智能”被认为是一个自主智能体,或者仅仅是人机组合中的一种工具,那将产生巨大的不同。本文介绍了“强”和“弱”艺术人工智能之间的区别,并建议每种人工智能都会带来特定的美学。前者本质上是以人类为中心的,努力复制现有的艺术形式,并再现后浪漫主义传统的概念,如表达、天才和创造力。另一方面,后者允许一种实验性的方法,通过让人类处于循环中,实现真正的艺术新颖性,而不受人类模型的阻碍。这一点可以通过讨论Ahmed Elgammal的“创造性对抗网络”以及Allison Parrish和Zach Whalen的数字诗歌来说明。
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The Paradox of Anthroponormative Restriction: Artistic Artificial Intelligence and Literary Writing
Artificial Intelligence, in the shape of stochastic machine learning models, has seen an increased use in artistic production in recent years. However, it makes an immense difference if such an ‘artistic Artificial Intelligence’ is conceived of as an autonomous agent or only as a tool in the context of a human-machine assemblage. This article introduces the distinction between a ‘ strong’ and a ‘ weak’ artistic AI, and suggests that each invites a specific aesthetic. The former is inherently anthropocentric, strives for the reduplication of existing artforms, and reproduces concepts of a postromantic tradition such as expression, genius, and creativity. The latter, on the other hand, allows for an experimental approach towards genuine artistic novelty unhampered by human models through, paradoxically, keeping a human in the loop. This point is illustrated by discussing Ahmed Elgammal’s ‘Creative Adversarial Network’ and the digital poetry of Allison Parrish and Zach Whalen.
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
24
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