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explainability

🤖 CT-AI

Official ISTQB Definition

The extent to which the internal mechanics of an AI system can be explained in human terms.

3 Ways to Think About It

💡
The Quick Take

Being able to understand WHY an AI made a decision - critical for testing fairness and debugging failures.

🔍
Look Closer

The ability to trace an AI's reasoning, essential for regulated industries and building trust.

🎯
The Bottom Line

Making the 'black box' transparent so testers can verify the AI is using appropriate logic.

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