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The Work of AI: Mapping Human Labour in the AI Pipeline
Stockholm University, Stockholm, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-3127-1917
University of Edinburgh, Edinburgh, United Kingdom.
University of Copenhagen, Copenhagen, Denmark.
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2024 (English)In: CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing, Association for Computing Machinery (ACM) , 2024, p. 728-731Conference paper, Published paper (Refereed)
Abstract [en]

This one-day workshop invites researchers and practitioners to map the human labour, in its sites, categories, and characteristics, in the infrastructuring of AI and algorithmic systems. Our concern is with the broadening of the terms with which we articulate and account for human labour in the AI pipeline. We aim to attend to not only the privileged bodies in the production of AI or the harmed bodies in the witnessing and moderation of its harms, but the constellation of mundane labours that make AI systems work the way they work. We consider this labour across sites - from labelling datasets, to red teaming, to the (inevitable) public perception management - and across categories of work - from knowledge work to emotion work, from bodily work to organisational work. Approaching the AI pipeline both as a site of empirical study and critical scrutiny, this workshop promotes a CSCW perspective into the inquiry of the humans, work practices, and politics in the AI pipeline. Taking a reflective turn, the workshop also invites us to consider what we as CSCW researchers - one group of humans active at various parts of the AI pipeline - can do and be challenged by through engaging with AI production.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2024. p. 728-731
Keywords [en]
ai, algorithmic systems, human labour, scale
National Category
Computer and Information Sciences Sociology
Identifiers
URN: urn:nbn:se:kth:diva-358885DOI: 10.1145/3678884.3681825Scopus ID: 2-s2.0-85214556492OAI: oai:DiVA.org:kth-358885DiVA, id: diva2:1930538
Conference
27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024, San Jose, Costa Rica, November 9-13, 2024
Note

Part of ISBN 9798400711145

QC 20250124

Available from: 2025-01-23 Created: 2025-01-23 Last updated: 2025-01-24Bibliographically approved

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Comber, Robert

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  • apa
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