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Doing the Feminist Work in AI: Reflections from an AI Project in Latin America
The contemporary landscape of AI development is dominated by large corporations, lacks diversity, and is primarily centered in the Global North or applies extractivist logics in the Global South. This article presents a feminist AI development process in Latin America, where we created an AI-powered interactive tool that helps criminal court officials open judicial data, thus addressing a data gap on gender-based violence.
Through a collaborative autoethnography grounded in Latin American feminisms, we unpack and make visible the feminist labor involved as a crucial step toward countering hegemonic narratives. By prioritizing the subjugated knowledge that emerges from our experiences, we offer a concrete example of a feminist, practice-based approach to AI development.
With this, we aim to critically inspire those considering the development of technology in service of social justice causes, or those choosing to build AI systems differently.
This work was awarded Best Paper at CHI 2025 in Yokohama, Japan, in recognition of its contribution to feminist and decolonial approaches to AI.
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Authors
Ciolfi Felice, Marianela. KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
Feldfeber, Ivana. DataGénero.
García, Mailén. DataGénero.
Glasserman Apicella, Carolina. DataGénero.
Quiroga, Yasmín Belén. DataGénero.
Ansaldo, Julián. Collective AI.
Lapenna, Luciano. Universidad Tecnológica Nacional, Buenos Aires, Argentina.
Bezchinsky, Santiago. Universidad de Buenos Aires, Buenos Aires, Argentina.
Barriga Rubio, Raul. Collective AI.
Doing the Feminist Work in AI: Reflections from an AI Project in Latin America
The contemporary landscape of AI development is dominated by large corporations, lacks diversity, and is primarily centered in the Global North or applies extractivist logics in the Global South. This article presents a feminist AI development process in Latin America, where we created an AI-powered interactive tool that helps criminal court officials open judicial data, thus addressing a data gap on gender-based violence.
Through a collaborative autoethnography grounded in Latin American feminisms, we unpack and make visible the feminist labor involved as a crucial step toward countering hegemonic narratives. By prioritizing the subjugated knowledge that emerges from our experiences, we offer a concrete example of a feminist, practice-based approach to AI development.
With this, we aim to critically inspire those considering the development of technology in service of social justice causes, or those choosing to build AI systems differently.
This work was awarded Best Paper at CHI 2025 in Yokohama, Japan, in recognition of its contribution to feminist and decolonial approaches to AI.
Read paper
Authors
Ciolfi Felice, Marianela. KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
Feldfeber, Ivana. DataGénero.
García, Mailén. DataGénero.
Glasserman Apicella, Carolina. DataGénero.
Quiroga, Yasmín Belén. DataGénero.
Ansaldo, Julián. Collective AI.
Lapenna, Luciano. Universidad Tecnológica Nacional, Buenos Aires, Argentina.
Bezchinsky, Santiago. Universidad de Buenos Aires, Buenos Aires, Argentina.
Barriga Rubio, Raul. Collective AI.
Doing the Feminist Work in AI: Reflections from an AI Project in Latin America
The contemporary landscape of AI development is dominated by large corporations, lacks diversity, and is primarily centered in the Global North or applies extractivist logics in the Global South. This article presents a feminist AI development process in Latin America, where we created an AI-powered interactive tool that helps criminal court officials open judicial data, thus addressing a data gap on gender-based violence.
Through a collaborative autoethnography grounded in Latin American feminisms, we unpack and make visible the feminist labor involved as a crucial step toward countering hegemonic narratives. By prioritizing the subjugated knowledge that emerges from our experiences, we offer a concrete example of a feminist, practice-based approach to AI development.
With this, we aim to critically inspire those considering the development of technology in service of social justice causes, or those choosing to build AI systems differently.
This work was awarded Best Paper at CHI 2025 in Yokohama, Japan, in recognition of its contribution to feminist and decolonial approaches to AI.
Read paper
Authors
Ciolfi Felice, Marianela. KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
Feldfeber, Ivana. DataGénero.
García, Mailén. DataGénero.
Glasserman Apicella, Carolina. DataGénero.
Quiroga, Yasmín Belén. DataGénero.
Ansaldo, Julián. Collective AI.
Lapenna, Luciano. Universidad Tecnológica Nacional, Buenos Aires, Argentina.
Bezchinsky, Santiago. Universidad de Buenos Aires, Buenos Aires, Argentina.
Barriga Rubio, Raul. Collective AI.
Feminisms in Artificial Intelligence: Automation tools towards a feminist judicial reform in Argentina and Mexico.
The lack of transparency in the judicial treatment of gender-based violence (GBV) against women and LGBTIQ+ people in Latin America results in low report levels, mistrust in the justice system, and thus, reduced access to justice. To address this pressing issue before GBV cases become feminicides, we propose to open the data from legal rulings as a step towards a feminist judiciary reform. We identify the potential of artificial intelligence (AI) models to generate and maintain anonymised datasets for understanding GBV, supporting policy making, and further fueling feminist collectives' campaigns.
In this paper, we describe our plan to create AymurAI, a semi-automated prototype that will collaborate with criminal court officials in Argentina and Mexico. From an intersectional feminist, anti-solutionist stance, this project seeks to set a precedent for the feminist design, implementation, and deployment of AI technologies from the Global South.
Leer paper
Read paper
Feminisms in Artificial Intelligence: Automation tools towards a feminist judicial reform in Argentina and Mexico.
The lack of transparency in the judicial treatment of gender-based violence (GBV) against women and LGBTIQ+ people in Latin America results in low report levels, mistrust in the justice system, and thus, reduced access to justice. To address this pressing issue before GBV cases become feminicides, we propose to open the data from legal rulings as a step towards a feminist judiciary reform. We identify the potential of artificial intelligence (AI) models to generate and maintain anonymised datasets for understanding GBV, supporting policy making, and further fueling feminist collectives' campaigns.
In this paper, we describe our plan to create AymurAI, a semi-automated prototype that will collaborate with criminal court officials in Argentina and Mexico. From an intersectional feminist, anti-solutionist stance, this project seeks to set a precedent for the feminist design, implementation, and deployment of AI technologies from the Global South.
Leer paper
Read paper
Feminisms in Artificial Intelligence: Automation tools towards a feminist judicial reform in Argentina and Mexico.
The lack of transparency in the judicial treatment of gender-based violence (GBV) against women and LGBTIQ+ people in Latin America results in low report levels, mistrust in the justice system, and thus, reduced access to justice. To address this pressing issue before GBV cases become feminicides, we propose to open the data from legal rulings as a step towards a feminist judiciary reform. We identify the potential of artificial intelligence (AI) models to generate and maintain anonymised datasets for understanding GBV, supporting policy making, and further fueling feminist collectives' campaigns.
In this paper, we describe our plan to create AymurAI, a semi-automated prototype that will collaborate with criminal court officials in Argentina and Mexico. From an intersectional feminist, anti-solutionist stance, this project seeks to set a precedent for the feminist design, implementation, and deployment of AI technologies from the Global South.
Leer paper
Read paper
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AymurAI is a development by DataGénero
Gender Data Observatory
2025 | Privacy Policy
AymurAI is a development by DataGénero
Gender Data Observatory
2025 | Privacy Policy
AymurAI is a development by DataGénero
Gender Data Observatory
2025 | Privacy Policy