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  • Reimagining_Global_Crowdsourcing_for_Better_Human_AI_Collaboration

    Rights statement: © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3491101.3503725

    Accepted author manuscript, 440 KB, PDF document

    Embargo ends: 28/04/23

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Reimagining Global Crowdsourcing for Better Human-AI Collaboration

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
  • Andy Alorwu
  • Saiph Savage
  • Neils Van Berkel
  • Dmitry Ustalov
  • Alexey Drutsa
  • Jonas Oppenlaender
  • Oliver Bates
  • Danula Hettiachchi
  • Ujwal Gadiraju
  • Jorge Goncalves
  • Simo Hosio
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Publication date5/05/2022
Host publicationCHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
EditorsSimone Barbosa, Cliff Lampe
Place of PublicationNew York
PublisherACM
Number of pages7
ISBN (Electronic)9781450391566
<mark>Original language</mark>English

Abstract

Crowdworkers silently enable much of today's AI-based products, with several online platforms offering a myriad of data labelling and content moderation tasks through convenient labour marketplaces. The HCI community has been increasingly interested in investigating the worker-centric issues inherent in the current model and seeking for potential improvements that could be implemented in the future. This workshop explores how a reimagined perspective on crowdsourcing platforms could provide a more equitable, fair, and rewarding experience. This includes not only the workers but also the platforms, who could benefit e.g. from better processes for worker onboarding, skills-development, and growth. We invite visionary takes in various formats on this topic to spread awareness of worker-centric research and developments to the CHI community. As a result of interactive ideation work in the workshop, we articulate a future direction roadmap for research centred around crowdsourcing platforms. Finally, as a specific interest area, the workshop seeks to study crowdwork from the context of the Global South, which has been arising as an important but critically understudied crowdsourcing market in recent years.

Bibliographic note

© ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3491101.3503725