Causality-Inspired Taxonomy for Explainable Artificial Intelligence

arXiv:2208.09500v2 Announce Type: replace
Abstract: As two sides of the same coin, causality and explainable artificial intelligence (xAI) were initially proposed and developed with different goals. However, the latter can only be complete when seen through the lens of the causality framework. As such, we propose a novel causality-inspired framework for xAI that creates an environment for the development of xAI approaches. To show its applicability, biometrics was used as case study. For this, we have analysed 81 research papers …

abstract artificial artificial intelligence arxiv causality cs.cv explainable artificial intelligence framework intelligence novel taxonomy through type xai