White-box models expose their internal structues, paraemters and processes, in ways that are understandable to humans. The latter is crucial as deep neural networks, for example, can in principle, interogated; however, without using techniques of explainable AI, the billions of weighst are totally in comprehensible, even for experts.
Used on Chap. 21: pages 523, 528
Also known as white-box learning