知更鸟:造型注意,记忆和纹理修复

IF 0.2 0 HUMANITIES, MULTIDISCIPLINARY
Luke Fischbeck
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引用次数: 1

摘要

我们如何展示我们所知道的?用来解释、建立理解和维持与世界关系的模型是如何运作的?人工智能模型——尤其是那些被称为“深度”学习模型的模型——引发了对这些基本问题的重新定义和重新关注。设计用于通过持续、嵌入式使用进行学习的机器产生了一种自动的主体间性,其前提是连续性、完整性和修复性的规范概念,而这些概念往往是不透明的。转向诗歌实践可能会复兴人类和非人类的灵活类别,在多个世界之间建立专注的联系,即使这些模型包围着我们,也会对其进行散漫的解释。本文的配套视频可以在以下网站上观看:https://vimeo.com/525096901.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mockingbirds: Modelling attention, memory and the texture of repair
How do we show what we know? How do the models used to interpret, build understanding and sustain relationships with the world, work? Artificial intelligence models ‐ particularly those characterized as ‘deep’ learning models ‐ provoke a reframing of, and renewed attention to, these basic questions. Machines designed to learn through continuous, embedded use give rise to a form of automated intersubjectivity premised on normative notions of continuity, completeness and repair that are often opaque. A turn to poetic practice may revivify supple categories of human and non-human, with attentive connection across multiple worlds, discursively explaining these models even as they enfold us. A companion video to this text can be viewed at: https://vimeo.com/525096901.
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来源期刊
Technoetic Arts
Technoetic Arts HUMANITIES, MULTIDISCIPLINARY-
CiteScore
0.60
自引率
0.00%
发文量
11
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