  The theory of actual causality, defined by Halpern and Pearl, and its
quantitative measure - the degree of responsibility - was shown to be extremely
useful in various areas of computer science due to a good match between the
results it produces and our intuition. In this paper, I describe the
applications of causality to formal verification, namely, explanation of
counterexamples, refinement of coverage metrics, and symbolic trajectory
evaluation. I also briefly discuss recent applications of causality to legal
reasoning.
