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IA y trabajo académico: verdad o mito

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IA y trabajo académico: verdad o mito

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About this activity

Descubre qué es correcto usar IA en tareas.

Created by

Luis Marin
Luis Marin
Colombia

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IA y trabajo académico: verdad o mito
 

IA y trabajo académico: verdad o mitoOnline version

Descubre qué es correcto usar IA en tareas.

by Luis Marin
1

La cita de la herramienta (y versión) puede ir en nota o referencias.

2

Anonimizar datos elimina siempre la necesidad de consentimiento.

3

La institución debe ofrecer alternativa sin IA cuando haya objeciones válidas.

4

Minimizar datos (solo los necesarios) es un principio clave de privacidad.

5

Usar datos sintéticos puede proteger la privacidad.

6

La retroalimentación docente sigue siendo necesaria aunque se use IA.

7

Es necesario declarar en el trabajo si usaste IA y para qué.

8

La minimización de datos debe aplicarse a todos los materiales vinculados con IA.

9

La bitácora de prompts y borradores ayuda a demostrar autoría.

10

Las evidencias de proceso (v1, v2, plan, fuentes) fortalecen la integridad académica.

11

Usar IA para lluvia de ideas y revisión de estilo puede ser ético si se declara.

12

Mantener una bitácora detallada de prompts, borradores y planes facilita demostrar autoría.

13

Declara en el trabajo si usaste IA y para qué.

14

El docente debe definir usos permitidos, restringidos y prohibidos de IA.

15

Diseñar tareas con defensa oral breve ayuda a verificar autoría.

 
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