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, …