Understanding Causal AI: Bridging the Gap Between Correlation and Causation

Artificial Intelligence (AI) has traditionally been driven by statistical learning methods that excel in identifying patterns from large datasets. These methods, however, predominantly capture correlations rather than causations. This distinction is crucial, as correlation does not imply causation. Causal AI emerges as a groundbreaking approach aiming to understand the “why” behind the data, enabling more […]

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