Lessons From the Margins: Contextualizing, Reimagining, and Hacking Generative AI in the Global South

The impacts of Generative AI in regions of Africa, Asia, and Latin America -with their diverse historical and sociopolitical contexts-are often overshadowed by the hyped and universalizing promises of the technology. Global South regions are strategic sites within the global AI value chain grappling with issues of resource exploitation, digital labor outsourcing, and environmental impact. In seeking to overcome the dynamics of extraction, diverse counter-hegemonic responses are contributing to question, adapt and reimagine Gen AI technologies to service the public interest, fundamental rights, and cultural preservation. We draw lessons from how activists, practitioners and thinkers on the margins of AI development, actively assert their autonomy, inspiring a more equitable and culturally responsive digital landscape.

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Publication Details

Journal
Harvard Data Science Review
Published
2025-07-16
DOI
https://doi.org/10.1162/99608f92.30a2934f
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37
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article

Lessons From the Margins: Contextualizing, Reimagining, and Hacking Generative AI in the Global South

Francisco Gallegos, Andrés Domínguez Hernández, Diana Mosquera
1 citations
Harvard Data Science Review
Ethics and Social Impacts of AI
2.37
article

Lessons From the Margins: Contextualizing, Reimagining, and Hacking Generative AI in the Global South

Francisco Gallegos, Andrés Domínguez Hernández, Diana Mosquera
article en
1 citations

Abstract

The impacts of Generative AI in regions of Africa, Asia, and Latin America -with their diverse historical and sociopolitical contexts-are often overshadowed by the hyped and universalizing promises of the technology. Global South regions are strategic sites within the global AI value chain grappling with issues of resource exploitation, digital labor outsourcing, and environmental impact. In seeking to overcome the dynamics of extraction, diverse counter-hegemonic responses are contributing to question, adapt and reimagine Gen AI technologies to service the public interest, fundamental rights, and cultural preservation. We draw lessons from how activists, practitioners and thinkers on the margins of AI development, actively assert their autonomy, inspiring a more equitable and culturally responsive digital landscape.

Harvard Data Science ReviewVol. 7(4)
Instituto Nacional de Biodiversidad (EC), The Alan Turing Institute (GB)
Openalex Percentile: Top 10%
Ethics and Social Impacts of AI
2.37
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