Computing Actual Causes for Neural Network Predictions under Structured Causal Inputs

Summary

Explaining the predictions of neural networks is a central challenge in trustworthy AI. Existing explanation methods, such as those based on feature attribution or minimal sufficient sets, typically treat input features as independent, which can yield misleadi...