Causality, Explainable Ai, Causal Ai.
genetic marker leads to the disease, thereby providing a path to intervention. 2. Improved Generalisation: Causal models are more robust to changes in the environment — a crucial advantage in real-world applications. For example, a machine learning model trained on past data may fail if the market