Affiliation:
1. 0000000121566853University of Southern California
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: <uri xlink:href="https://vimeo.com/525096901">https://vimeo.com/525096901</uri>.
Subject
Computer Science Applications,Human-Computer Interaction,Philosophy,Visual Arts and Performing Arts
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