Abstract
The remarkable capacities of AI-infused and data intensive systems are regularly presented as emblematic of technoscientific innovation and progress. Far less recognised is the human labour required to sift through and sort data, and ultimately train these systems. This is a labour distributed well beyond the presumed centres of technological innovation, and spun into and strewn across geographically distributed regions in the ”Global South”. This workshop brings together scholars and practitioners interested in and conducting research on the hidden labours that lie behind AI and data intensive systems. Participants will share perspectives or results of their research and, through highly exploratory engagements and dialogues, set out a critical mode of inquiry for future directions in research, design and policy.
Original language | English |
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Title of host publication | CSCW '21 |
Subtitle of host publication | Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing |
Editors | Jeremy Birnholtz, Luigina Ciolfi, Sharon Ding, Susan Fussell, Andrés Monroy-Hernández, Sean Munson, Irina Shklovski, Mor Naaman |
Publisher | Association for Computing Machinery (ACM) |
Pages | 319-322 |
Number of pages | 4 |
ISBN (Electronic) | 9781450384797 |
DOIs | |
Publication status | Published - 23 Oct 2021 |
Event | The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing - Duration: 23 Oct 2021 → 27 Oct 2021 https://cscw.acm.org/2021/ |
Conference
Conference | The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing |
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Period | 23/10/21 → 27/10/21 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- speculative futures
- content moderation
- data labeling
- labour
- gig economy