Why is it (still) difficult to understand black-box models? Explainable artificial intelligence and the experimenters’ regress
It is suggested that the notion of the experimenters’ regress (ER) in scientific instruments is useful to understand the situation of XAI, and a new variant of ER is identified in the design and application of XAI algorithms: the validity of XAI algorithms and the workings of black-box models cannot be secured without...