Some algorithms used in Artificial Intelligence can be differentiated as white-box and black-box machine learning algorithms. The former are those algorithms that provide results that are understandable for experts in the domain whereas the latter can hardly be understood even by domain experts.
Requirement: Read the relevant literature and suggest how the present black-box machine learning algorithms can be made transparent, interpretable and explainable.

Answer rating: 100% (QA)

Black Box Testing is a software testing method in which the internal structure design implementation of the item being tested is not known to the tester White Box Testing is a software testing method ... View the full answer