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Machine learning is by definition a black box. Nonlinear statistical models with huge numbers of parameters to be estimated.

Not all machine learning. Neural networks.

Explainability towards users is essential if there is any sort of responsibility for what the model produces.

But explainability at a deeper level is also critical towards developers, to close the feedback loop and iterate towards better models.