Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks

Halil Ibrahim Aysel, Xiaohao Cai, Adam Prugel-Bennett

Concept-based explanation methods, such as concept bottleneck models (CBMs), aim to improve the interpretability of machine learning models by linking their decisions to human-unde…