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Ética de la IA: Verdadero o Falso

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Testea tu comprensión ética sobre IA.

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Mexico

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Ética de la IA: Verdadero o Falso
 

Ética de la IA: Verdadero o FalsoOnline version

Testea tu comprensión ética sobre IA.

by GARCIA VILLEGAS ABNER
1

La privacidad puede ignorarse en sistemas de IA sin consecuencias legales.

2

La supervisión humana continua es recomendable para sistemas críticos de IA.

3

La explicabilidad ayuda a entender por qué una IA toma una decisión.

4

Los sesgos en los datos pueden provocar decisiones injustas en IA.

5

Una IA no necesita evaluaciones éticas para su correcta operación.

6

La supervisión humana nunca es necesaria en IA.

7

La transparencia en los modelos de IA facilita la rendición de cuentas.

8

La explicabilidad no aporta valor para usuarios finales.

9

El consentimiento y la privacidad de los datos son aspectos clave en IA.

10

Todos los sesgos presentes en los datos quedan compensados solo con más datos.

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