Understanding Causal AI Applications - DataScienceCentral.com

Most ML developers today are not familiar with causal models. Current ML models are based on co-relation. In contrast, causal models deal with cause and effect. Furthermore, correlation-based models have limited explainability, do not handle novel situations well, and need a lot more data. Causal models overcome many of these limitations.