Let's learn about Model Interpretability

Interpretability is essential for:

Model debugging - Why did my model make this mistake?

Feature Engineering - How can I improve my model

Detecting fairness issues - Does my model discriminate?

Human-AI cooperation - How can I understand and trust the model's decisions?

Regulatory compliance - Does my model satisfy legal requirements?

High-risk applications - Healthcare, finance, judicial,