[jw887c]

I view it as:

Explainable models = statistical models (regression / multilevel models).

Black box models = machine learning (tree based models).

AI = black box models for computer vision / NLP.

[mistrial9]

hmm Black box models - refers to NeuralNets that build iteratively "unsupervised" .. confusion reading this because, tree-based models sounds similar to other, non-NN models such as RandomForest.. a RandomForest model is reproducible and may be very explainable, depending on the way the setup was done "and other factors"

AI = long history of multiple meanings of this term, but a common one is "get computers to solve a question that used to be only solveable by a human".. not at all specific to vision 'slash' natural language processing

[mnky9800n]

I don't know why trees are black box when partial dependence has existed for 20 years.