ÉTICA Y GÉNERO EN LA IA: IDENTIFICAR SESGOS DE GÉNERO EN IA MEDIANTE PENSAMIENTO COMPLEJO

María Nely Vásquez Pérez

doi:10.48168/ricce.v2n2p49

María Nely Vásquez Pérez Universidad de Deusto

DOI: 10.48168/ricce.v2n2p49

Palabras clave: Inteligencia Artificial, Identificación de Sesgos Algorítmicos, Sesgos de Género, Pensamiento Complejo

Resumen

El presente trabajo explora la identificación y mitigación de sesgos aplicando categorías propias del Pensamiento Complejo, especialmente los sesgos de género, en los modelos de inteligencia artificial (IA), así como las mejores prácticas para garantizar la equidad y la inclusión en el desarrollo de algoritmos de IA.

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