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