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Lesson

GDPR basics for using AI without surprises

You don't need to be a lawyer to work smarter: you need to know what data you put into AI, what for, where it goes, and who can review it. This lesson doesn't replace legal advice, but it gives you a prudent framework.

  • Reduce personal data before using AI.
  • Distinguish local AI, cloud providers, and data processors.
  • Create a minimal checklist before automating client tasks.

Minimal checklist

  • Purpose: what the AI is used for.
  • Data: which fields go in and which are removed.
  • Provider: local, self-hosted, or external service.
  • Access: who can see input, output, and logs.
  • Retention: how long you keep results.
  • Human review: which actions require approval.
TerminalCode
Antes de enviar datos a un modelo:
1. Elimina campos innecesarios.
2. Sustituye nombres por IDs internos si puedes.
3. No incluyas datos sensibles salvo necesidad clara.
4. No permitas envío automático sin revisión.
5. Registra qué hizo el sistema y quién aprobó.
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