Causal inference in AI Causal inference in AI refers to the process of drawing a conclusion based on the causal connection amongst the conditions of the occurrence of an effect. The main goal of causal inference is to analyze the response of the effect variable when the cause is changed.
Causality is based on how we view and react to the environment around us, to our decision making, and to the advancement of science. Causal inference in AI has advanced…