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Searching for Actual Causes: Approximate Algorithms with Adjustable Precision
Causality has gained increasing attention in recent years, notably for improving the interpretability of machine learning models. Yet the field of explainable artificial intelligence (XAI) has been criticized for emphasizing general tendencies rather than the situation-specific facts, which users ty
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