The digital labour of artificial intelligence in Latin America: a comparison of Argentina, Brazil, and Venezuela
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2025
- ISIDORE Id: 10670/1.0cfeef...
- hal: hal-04935984
- doi: 10.1080/14747731.2025.2465171
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info:eu-repo/semantics/altIdentifier/doi/10.1080/14747731.2025.2465171
http://hal.archives-ouvertes.fr/licences/copyright/ , info:eu-repo/semantics/OpenAccess
Mots-clés
Artificial intelligence Data work Informal economy Global inequalities Latin America F - International Economics/F.F6 - Economic Impacts of Globalization L - Industrial Organization/L.L8 - Industry Studies: Services/L.L8.L86 - Information and Internet Services • Computer Software Z - Other Special Topics/Z.Z1 - Cultural Economics • Economic Sociology • Economic AnthropologySujets proches
Work, Method of Industry (Psychology) Method of workCiter ce document
Paola Tubaro et al., « The digital labour of artificial intelligence in Latin America: a comparison of Argentina, Brazil, and Venezuela », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1080/14747731.2025.2465171
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Résumé
The current hype around artificial intelligence (AI) conceals the substantial human intervention underlying its development. This article lifts the veil on the precarious and low-paid ‘data workers’ who prepare data to train, test, check, and otherwise support models in the shadow of globalized AI production. We use original questionnaire and interview data collected from 220 workers in Argentina (2021-22), 477 in Brazil (2023), and 214 in Venezuela (2021-22). We compare them to detect common patterns and reveal the specificities of data work in Latin America, while disclosing its role in AI production.We show that data work is intertwined with economic hardship, inequalities, and informality. Despite workers’ high educational attainment, disadvantage is widespread, though with cross-country disparities. By acknowledging the interconnections between AI development, data work, and globalized production, we provide insights for the regulation of AI and the future of work, aiming to achieve positive outcomes for all stakeholders.
