Questioning the practicality of explainability evaluation metrics

A paper highlights structural misalignments in metrics used to measure the reliability of Explainable AI. It may affect the accuracy of feature importance assessments, with practical considerations and improvements proposed.

Why it mattersTo understand the impact of evaluation metrics for XAI in practice.