AI/Machine Learning Scorecard: Correlation Pass | Causation Fail

AI/Machine Learning lacks the ability to compute cause and effect. It is at the first level in the ladder of causation where learning is based purely on association. Judea Pearl, a leading computer scientist/professor of computer science/statistics and director of the Cognitive Systems Laboratory at UCLA, in his important book “The Book of Why”, explains that AI/ML in the current state, lacks human like cognition and cannot reason why. Read more to find out…