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The Coloniality of Data Work in Latin America

Published: 30 July 2021 Publication History

Abstract

This presentation for the AIES '21 doctoral consortium examines the Latin American crowdsourcing market through a decolonial lens. This research is based on the analysis of the web traffic of ninety-three platforms, interviews with Venezuelan data workers of four platforms, and analysis of the documentation issued by these organizations. The findings show that (1) centuries-old global divisions of labor persist, in this case, with requesters located in advanced economies and workers in the Global South. (2) That the platforms' configuration of the labor process constrains the agency of these workers when producing annotations. And, (3) that ideologies originating from the Global North serve to legitimize and reinforce this global labor market configuration.

References

[1]
Antonio A. Casilli. 2019. En attendant les robots. Éditions du Seuil, Paris. 401 pages.
[2]
Antonio A. Casilli and Julian Posada. 2019. The Platformisation of Labor and Society. In Society and the Internet (vol. 2 ed.), Mark Graham and William H. Dutton (Eds.). Oxford University Press, Oxford.
[3]
Mary L. Gray and Siddharth Suri. 2019. Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. Houghton Mifflin Harcourt, Boston, MA. 288 pages.
[4]
Walter D. Mignolo. 2007. Introduction: Coloniality of power and de-colonial thinking. Cultural Studies 21, 2--3 (mar 2007), 155--167. https://doi.org/10.1080/09502380601162498
[5]
Julian Posada. 2020. The Future of Work Is Here: Toward a Comprehensive Approach to Artificial Intelligence and Labour. Ethics in Context 56 (2020).
[6]
Aníbal Quijano. 1992. Colonialidad y modernidad/racionalidad. Perú Indígena 13, 29 (1992), 11--20.
[7]
JamieWoodcock and Mark Graham. 2020. The Gig Economy: A Critical Introduction. Polity Press, London. 160 pages.

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  • (2024)A typology of artificial intelligence data workBig Data & Society10.1177/2053951724123263211:1Online publication date: 18-Mar-2024
  • (2024) The supply chain capitalism of AI : a call to (re)think algorithmic harms and resistance through environmental lens Information, Communication & Society10.1080/1369118X.2024.2420021(1-17)Online publication date: 30-Oct-2024
  • (2024)Data work and practices in healthcare: A scoping reviewInternational Journal of Medical Informatics10.1016/j.ijmedinf.2024.105348184(105348)Online publication date: Apr-2024
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Published In

cover image ACM Conferences
AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
July 2021
1077 pages
ISBN:9781450384735
DOI:10.1145/3461702
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 July 2021

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Author Tags

  1. coloniality
  2. crowdsourcing
  3. labor
  4. platform

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Overall Acceptance Rate 61 of 162 submissions, 38%

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Cited By

View all
  • (2024)A typology of artificial intelligence data workBig Data & Society10.1177/2053951724123263211:1Online publication date: 18-Mar-2024
  • (2024) The supply chain capitalism of AI : a call to (re)think algorithmic harms and resistance through environmental lens Information, Communication & Society10.1080/1369118X.2024.2420021(1-17)Online publication date: 30-Oct-2024
  • (2024)Data work and practices in healthcare: A scoping reviewInternational Journal of Medical Informatics10.1016/j.ijmedinf.2024.105348184(105348)Online publication date: Apr-2024
  • (2023)Deus ex machina: inteligencia artificial frente a la pluralidad epistémicaNómadas10.30578/nomadas.n57a5Online publication date: 16-Dec-2023
  • (2022)REGROW: Reimagining Global Crowdsourcing for Better Human-AI CollaborationExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503725(1-7)Online publication date: 27-Apr-2022

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