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Audita al sistema: Medir y Reparar

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Examen final: sesgos en IA

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Audita al sistema: Medir y Reparar
 

Audita al sistema: Medir y RepararOnline version

Examen final: sesgos en IA

by Academia JuventudesGTO
1

¿Cómo se llama la métrica que busca que la IA apruebe a la misma cantidad de personas de todos los grupos (ej. 50% hombres y 50% mujeres)?

2

¿Qué métrica busca que el algoritmo se equivoque en la misma proporción para todos los grupos, sin perjudicar más a unos que a otros?

3

Cuando una IA "desaprende" un prejuicio aplicando un parche matemático, como limpiar los datos antes de entrenar al sistema, ¿qué técnica se está usando?

4

¿Cuál es la principal limitación (trade-off) a la que se enfrenta un auditor al aplicar técnicas de mitigación en un algoritmo?

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