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Explainability (XAI)

Explainability (XAI) is an AI system's capacity to make the reasons for its decisions understandable. Deep learning models are inherently "black boxes": billions of numerical parameters produce the output, but no single "why" can be pointed to.

Definition

The issue is both technical and regulatory: when AI decides on credit, hiring, healthcare or justice, unexplainability becomes unacceptable. GDPR grants rights to meaningful information about automated decision logic; the AI Act imposes risk-proportionate transparency requirements.

Related terms

• AI Bias
• EU AI Act
• GDPR
• Deep Learning
• Chain of Thought

More in Fondamenti AI

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

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