Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

Deep learning models have achieved high performance across different domains, such as medical decision-making, autonomous vehicles, decision support systems , among many others. However, despite this success, the inner mechanisms of these models are opaque because their internal representations are