Causal Learning Insights

Johann discusses the importance of breaking the IID assumption by using paired before-and-after images to uncover true causal variables in a scene. By analyzing how interventions, like changing a traffic light, affect outcomes, the method aims to learn causal relationships. However, the technology isn't yet at a point where one can simply input a scenario and receive an accurate predicted outcome.