Tom Yaacov

Counterfactual medical images can now be generated directly from classifiers, providing clearer insights into decision-making without the biases of generative models.

Local explanations of process monitor predictions can now be derived from a causal framework, revealing event influences with unprecedented clarity and stability.

Actual causality can now illuminate the black-box failures of autonomous systems, providing critical insights for improving reliability and trust.