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
Explainable models = statistical models (regression / multilevel models).
Black box models = machine learning (tree based models).
AI = black box models for computer vision / NLP.