Doing the Feminist Work in AI: Reflections from an AI Project in Latin America

The contemporary AI development landscape is dominated by big corporations, lacks diversity, and mostly centres the Global North, or applies extractivist logics in the South. This paper showcases a feminist process of AI development from Latin America, where we created an interactive, AI-powered tool that helps criminal court officers open justice data, addressing a data gap on gender-based violence. Through a collaborative autoethnography, drawing from Latin American feminisms, we unpack and visibilize the feminist work that was required, as a crucial step to counter hegemonic narratives. Foregrounding the subjugated knowledges of our experiences, we offer a concrete example of a feminist approach to AI development grounded in practice. With this, we aim to critically inspire those who consider building technology in service of social justice causes, or who choose to build AI systems otherwise.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1145/3706598.3713681
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
4.73
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article

Doing the Feminist Work in AI: Reflections from an AI Project in Latin America

Ivana Feldfeber, R.H. Barriga Rubio, Marianela Ciolfi Felice, Mark Garcia et al.
2 citations
Ethics and Social Impacts of AI
4.73
article

Doing the Feminist Work in AI: Reflections from an AI Project in Latin America

Ivana Feldfeber, R.H. Barriga Rubio, Marianela Ciolfi Felice, Mark Garcia, Carolina Glasserman Apicella, Yasmín Belén Quiroga, Julián Ansaldo, Luciano Lapenna, Santiago Bezchinsky
article en
2 citations

Abstract

The contemporary AI development landscape is dominated by big corporations, lacks diversity, and mostly centres the Global North, or applies extractivist logics in the South. This paper showcases a feminist process of AI development from Latin America, where we created an interactive, AI-powered tool that helps criminal court officers open justice data, addressing a data gap on gender-based violence. Through a collaborative autoethnography, drawing from Latin American feminisms, we unpack and visibilize the feminist work that was required, as a crucial step to counter hegemonic narratives. Foregrounding the subjugated knowledges of our experiences, we offer a concrete example of a feminist approach to AI development grounded in practice. With this, we aim to critically inspire those who consider building technology in service of social justice causes, or who choose to build AI systems otherwise.

National Technological University (AR), National University of Mar del Plata (AR), National University of General San Martín (AR), Universidad de Buenos Aires (AR), KTH Royal Institute of Technology (SE)
Gender equality
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
4.73
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