Making Trouble: Techniques for Queering Data and AI Systems

Anh-Ton  Tran; Annabel Rothschild; Kay Kender; Ekat  Osipova; Brian Kinnee; Jordan  Taylor; Louie Søs Meyer; Oliver L.  Haimson; Ann  Light; Carl  DiSalvo

doi:10.1145/3656156.3658393

Making Trouble: Techniques for Queering Data and AI Systems

Anh-Ton Tran
, Annabel Rothschild
, Kay Kender
, Ekat Osipova
, Brian Kinnee
, Jordan Taylor
, Louie Søs Meyer
, Oliver L. Haimson
, Ann Light
, Carl DiSalvo

Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Konferenceartikel › Forskning › peer review

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.

Originalsprog	Engelsk
Konferencepublikationer	Proceedings of the 2024 ACM Designing Interactive Systems Conference
Sider (fra-til)	381-384
Antal sider	4
DOI	https://doi.org/10.1145/3656156.3658393
Status	Udgivet - 1 jul. 2024
Begivenhed	ACM Conference on Designing Interactive Systems - IT University of Copenhagen, Copenhagen, Danmark Varighed: 1 jul. 2024 → 5 jul. 2024 Konferencens nummer: 19 https://dis.acm.org/2024/ https://dl.acm.org/doi/proceedings/10.1145/3656156

Konference

Konference	ACM Conference on Designing Interactive Systems
Nummer	19
Lokation	IT University of Copenhagen
Land/Område	Danmark
By	Copenhagen
Periode	01/07/2024 → 05/07/2024
Internetadresse	https://dis.acm.org/2024/ https://dl.acm.org/doi/proceedings/10.1145/3656156

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10.1145/3656156.3658393

Citationsformater

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title = "Making Trouble: Techniques for Queering Data and AI Systems",

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.",

keywords = "Queering, Data, Human-in-the-Loop (HITL), AI Systems, Design, Machine Learning, Algorithmic Systems, Queering-the-Loop, Design",

author = "Anh-Ton Tran and Annabel Rothschild and Kay Kender and Ekat Osipova and Brian Kinnee and Jordan Taylor and Meyer, \{Louie S{\o}s\} and Haimson, \{Oliver L.\} and Ann Light and Carl DiSalvo",

year = "2024",

month = jul,

day = "1",

doi = "10.1145/3656156.3658393",

language = "English",

pages = " 381--384",

journal = "Proceedings of the 2024 ACM Designing Interactive Systems Conference",

publisher = "Association for Computing Machinery",

note = "ACM Conference on Designing Interactive Systems, DIS ; Conference date: 01-07-2024 Through 05-07-2024",

url = "https://dis.acm.org/2024/, https://dl.acm.org/doi/proceedings/10.1145/3656156",

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T1 - Making Trouble: Techniques for Queering Data and AI Systems

AU - Tran, Anh-Ton

AU - Rothschild, Annabel

AU - Kender, Kay

AU - Osipova, Ekat

AU - Kinnee, Brian

AU - Taylor, Jordan

AU - Meyer, Louie Søs

AU - Haimson, Oliver L.

AU - Light, Ann

AU - DiSalvo, Carl

N1 - Conference code: 19

PY - 2024/7/1

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N2 - 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.

AB - 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.

KW - Queering

KW - Data

KW - Human-in-the-Loop (HITL)

KW - AI Systems, Design

KW - Machine Learning

KW - Algorithmic Systems

KW - Queering-the-Loop

KW - Design

U2 - 10.1145/3656156.3658393

DO - 10.1145/3656156.3658393

M3 - Conference article

SP - 381

EP - 384

JO - Proceedings of the 2024 ACM Designing Interactive Systems Conference

JF - Proceedings of the 2024 ACM Designing Interactive Systems Conference

T2 - ACM Conference on Designing Interactive Systems

Y2 - 1 July 2024 through 5 July 2024

ER -

Making Trouble: Techniques for Queering Data and AI Systems

Abstract

Konference

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