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Mockingbirds: Modelling attention, memory and the texture of repair
- Source: Technoetic Arts, Volume 19, Issue Themed Issue: ‘On Modes of Participation’, Nov 2021, p. 243 - 251
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- 16 Jan 2022
- 04 May 2022
- 01 Nov 2021
Abstract
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.