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Challenges and results of aiding in the construction of a Feminist AI Research Network

  • María Estrada
  • , Aurelio Sanabria
  • , Jeff Schmidt
  • , Cesar Garita
  • Costa Rica Institute of Technology

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

Resumen

Artificial intelligent systems have more frequently become involved assisting persons with their everyday life activities. However, if these systems are not designed properly, there are certain risks that need to be addressed in order to prevent negative effects of the application of this technology. These risks include managing biases in terms of gender, race and group stereotypes associated with potential end users. The f<a+i>r-Feminist AI Network, was created in order to develop new approaches on how AI data, algorithms, models, and systems can positively impact gender justice, quality of life, and social inclusion. This paper focuses on summarizing some of the most important challenges and results derived from the participation of the Costa Rica Institute of Technology (TEC) as a fund management partner in f<a+i>r.

Idioma originalInglés
Páginas (desde-hasta)80-89
Número de páginas10
PublicaciónCEUR Workshop Proceedings
Volumen4185
EstadoPublicada - 2025
Evento17th Congress of Latin American Women in Computing 2025, LAWCC 2025 - Valparaiso, Chile
Duración: 27 oct 202531 oct 2025

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