Benchmark Evaluation of Counterfactual Algorithms for XAI: From a White Box to a Black Box. (arXiv:2203.02399v1 [cs.LG])

Counterfactual explanations have recently been brought to light as a
potentially crucial response to obtaining human-understandable explanations
from predictive models in Explainable Artificial Intelligence (XAI). Despite
the fact that various counterfactual algorithms have been proposed, the state
of the art research still lacks standardised protocols to evaluate the quality
of counterfactual explanations. In this work, we conducted a benchmark
evaluation across different model agnostic counterfactual algorithms in the
literature (DiCE, WatcherCF, prototype, unjustifiedCF), and we investigated the
counterfactual generation process …

algorithms arxiv black box evaluation xai