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Explainable AI (XAI)

Definition

Methods and techniques that allow humans to understand, interpret, and trust the outputs of AI models. XAI is a mandatory requirement for high-risk AI systems under the EU AI Act and is central to building stakeholder confidence in automated decision-making.

Verwandte Begriffe

Explainability (XAI)

The ability to understand and explain how an AI model reaches its decisions. Explainable AI is a mandatory requirement for high-risk AI systems under the EU AI Act and is critical for building trust with regulators, auditors, and end users.

AI Transparency

The principle that AI systems, their capabilities, limitations, and decision-making processes should be understandable to affected users, deployers, and regulators. The EU AI Act mandates transparency obligations at multiple risk tiers, from simple chatbot disclosure to full technical documentation for high-risk systems.

High-Risk AI System

An AI system classified under the EU AI Act as posing significant risks to health, safety, or fundamental rights. High-risk systems must undergo conformity assessment, maintain technical documentation, enable human oversight, and be registered in an EU database before market deployment.

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