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What are best practices for Explainability in Deep Learning Models

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Answer

When working with Explainability in Deep Learning Models, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

Real-world example A tool highlights the specific area of an X-ray image that most influenced a deep learning model's diagnosis prediction.

Common follow-ups: What is Explainable AI (XAI), How is Explainability in Deep Learning Models evaluated in practice, What tools are commonly used for Explainability in Deep Learning Models

Explainable AI (XAI) topics: Introduction to Explainable AI Why Model Interpretability Matters SHAP Values for Model Explanation