Making Trouble: Techniques for Queering Data and AI Systems
Authors: 
Anh-Ton Tran, Annabel Rothschild, Kay Kender, Ekat Osipova, Brian Kinnee, Jordan Taylor, Louie Søs Meyer, 
Oliver L. Haimson, Ann Light, Carl DisalvoAuthors Info & Claims
Pages 381 - 384
Abstract
This one day workshop will explore queering as a design technique for troubling data and AI systems, ranging from quotidian personal data to recent Generative AI tools. By surfacing numerous instances of queering data or AI, we will come together to develop an archive of techniques for queering or artful subversion. From this archive, participants will select a technique and develop a speculative prototype or artifact via critical making. In doing so, we resist techno-determinism and conventional narratives of AI harms and benefits by tracing queer possibilities outside these categories.
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Index Terms
- Making Trouble: Techniques for Queering Data and AI Systems
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July 2024
501 pages
ISBN:9798400706325
DOI:10.1145/3656156
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