Choosing Interpretable vs Black-Box Models

You are comparing two candidate models for a supervised learning task, one simple and interpretable, the other more complex and more accurate. The team needs a clear decision that balances performance, explainability, and how the model will be used in production.

Question

Walk me through a time you had to choose between a simpler, interpretable model and a complex, highly accurate black-box model.