In order for self-driving cars and other AI systems to behave responsibly, an understanding of how their actions affect others is required. Researchers at Stanford, MIT and University College London have developed a computational model of how humans judge causation in dynamic physical situations. The researchers are working to bring the counterfactual simulation model of causation into the AI arena. One goal is to develop AI systems that understand causal explanations the way humans do.