Causality-Aware Shapley Value for Global Explanations of Artificial Intelligence Models
The core message of this article is to introduce a novel global explanation framework called CAGE (Causally-Aware Shapley Values for Global Explanations) that incorporates causal knowledge to provide more faithful and intuitive explanations of predictive models compared to existing global explanation methods.
