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Ética en IA: Usos Responsables

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Ética en IA: Usos Responsables

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Ética y IA: usos responsables.

Created by

Fatima Aguilar Romero
Fatima Aguilar Romero
Mexico

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Ética en IA: Usos Responsables
 

Ética en IA: Usos ResponsablesOnline version

Ética y IA: usos responsables.

by Fatima Aguilar Romero
1

1. Introducción

La inteligencia artificial (IA) plantea oportunidades y riesgos. Analizar su ética ayuda a asegurar beneficios sin dañar a las personas ni sociedades.

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2. ¿Qué es la ética en IA?

La ética en IA consiste en principios y normas para diseñar, desarrollar y desplegar sistemas que respeten derechos, equidad y seguridad.

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3. Principios clave

Transparencia, justicia, no maleficencia, responsabilidad, privacidad y seguridad deben guiar todas las fases de la IA.

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4. Cómo garantizar lo ético (1)

Gobernanza clara: asignar responsables, políticas de uso, y auditorías periódicas de modelos y datos.

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5. Cómo garantizar lo ético (2)

Auditorías de sesgo y explicabilidad: entender por qué un sistema toma ciertas decisiones y ajustar cuando sea necesario.

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6. Cómo garantizar lo ético (3)

Protección de la privacidad: minimización de datos, encriptación y controles de acceso estrictos.

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7. Implicación ética 1

Sesgo y discriminación: los datos sesgados agravan desigualdades; se deben mitigar con conjuntos de datos diversos y pruebas de equidad.

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8. Implicación ética 2

Privacidad: recolectar menos datos y garantizar confidencialidad para usuarios y comunidades.

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9. Implicación ética 3

Autonomía humana: evitar sustituir decisiones críticas sin intervención humana informada y consentimiento.

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10. Cierre y retos

La ética en IA es un proceso continuo: revisión, responsabilidad compartida y educación para usuarios y desarrolladores.
 
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