The 'Black Box' Problem

The "Black Box" era is over. If you can't explain why your AI made a decision, you cannot legally deploy it in Spain for any use case affecting humans.

#The GDPT vs. Deep Learning Conflict

Modern neural networks are inherently opaque. GDPR Article 22 (and AEPD interpretations) establishes a "Right to Explanation." This is a fundamental conflict.

#AEPD's Stance

The Spanish regulator has signaled that "accuracy" is not a defense for "opacity." A 99% accurate model that discriminates based on a hidden variable is a liability, not an asset.

#Practical Steps for Startups

• 1
  Implement SHAP/LIME: Use interpretability libraries to generate feature importance maps for every prediction.
• 2
  Counterfactual Explanations: Your system should be able to say, "If your income was €500 higher, you would have been approved."
• 3
  Model Cards: Document the known limitations and "blind spots" of your model.