Explainable AI (XAI) › Why Model Interpretability Matters
What are best practices for Why Model Interpretability Matters
AdvancedAnswer
When working with Why Model Interpretability Matters, 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 hospital requires model interpretability so doctors can understand and trust why an AI system flagged a certain diagnosis.