I was reading this blog post titled: The Financial World Wants to Open AIs Black Boxes, where the author repeatedly refer to ML models as black boxes. A similar terminology has been used at several places when referring to ML models. Why is it so?It is not like the ML engineers don't know what goes on inside a neural net. Every layer is selected by the ML engineer knowing what activation function to use, what that type of layer does, how the error is back propagated, etc.
Why are Machine Learning models called black boxes?
machine learning;terminology