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Uso responsable de la IA

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Uso responsable de la IA

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About this activity

Guía práctica de IA

Created by

Gabriela Gomez
Gabriela Gomez
Colombia

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Uso responsable de la IA
 

Uso responsable de la IAOnline version

Guía práctica de IA

by Gabriela Gomez
1

1) ¿Cuál es el primer paso para usar IA de forma responsable?

2

2) ¿Qué es el sesgo algorítmico?

3

3) ¿Por qué es importante verificar las fuentes generadas por IA?

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4) ¿Qué práctica ayuda a reducir errores en IA?

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5) ¿Qué se debe evitar al usar IA con datos personales?

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6) ¿Qué significa prompt engineering?

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7) ¿Cuándo es adecuado usar IA?

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8) ¿Qué limitaciones tiene la IA actual?

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9) ¿Qué consideraciones de derechos de autor son importantes?

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10) ¿Cómo medir el impacto de usar IA?

Explicación

Definir objetivo y público establecen propósito y límites.

El sesgo proviene de datos o diseño y puede distorsionar resultados.

Las salidas de IA pueden ser falaces; verificación necesaria.

La validación externa mejora la fiabilidad de la salida.

Datos sensibles requieren protección y cumplimiento.

Un buen prompt orienta la IA hacia la respuesta deseada.

La IA asiste; el criterio humano es indispensable.

La IA opera sobre patrones; no entiende valores ni contexto profundo.

Atribución y permisos evitan violaciones de derechos.

Las métricas adecuadas reflejan utilidad real y mejoras.

 
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