The scientific community41,42 has proposed numerous definitions of model “interpretability“ and “explainability”, and tends to make a certain distinction between them, although in practice these concepts are often used interchangeably. Generally speaking, interpretability is linked to the ability to explain to a human being the results of a model (its cause-effect relationship), while explainability is associated with the understanding of an algorithm’s internal logic, how it is designed and tra
