Axe the X in XAI: A Plea for Understandable AI

arXiv:2403.00315v1 Announce Type: cross
Abstract: In a recent paper, Erasmus et al. (2021) defend the idea that the ambiguity of the term "explanation" in explainable AI (XAI) can be solved by adopting any of four different extant accounts of explanation in the philosophy of science: the Deductive Nomological, Inductive Statistical, Causal Mechanical, and New Mechanist models. In this chapter, I show that the authors' claim that these accounts can be applied to deep neural networks as they would to any …

abstract arxiv cs.ai cs.lg explainable ai inductive paper philosophy science statistical type xai