A Philosophical Approach for a Human-centered Explainable AI

Requests for technical specifications on the notion of explainability of AI are urgent, although the definitions proposed are sometimes confusing. It is clear from the available literature that it is not easy to provide explicit, discrete and general criteria according to which an algorithm can be considered explainable, especially regarding the issue of trust in the human-machine relationship. The question of black boxes has turned out to be less obvious than we initially thought. In this position paper, we will propose a critical analysis of two approaches to Explainable AI, a technically-oriented one and a human centered model. The aim is to highlight the epistemological gaps underlying these proposals. Through a philosophical approach, a new starting point for Explainable AI related studies will be handed out, which will eventually be able to hold together the technical limits set by algorithms and the instances of a human-centric approach.