What is Causal AI?

Causal AI is a branch of artificial intelligence that models cause-and-effect relationships instead of only detecting statistical associations. While classic machine learning derives predictions from correlations, Causal AI answers questions of the form "what happens if I change X?". It rests on causal models, interventions, and counterfactual reasoning.

Why does this matter?

For operational decisions a prediction is not enough – what is needed is the effect of an action. A model that finds late deliveries correlate with complaints says nothing about whether faster delivery reduces complaints. Causal AI closes exactly this gap between observation and action.