Causality, Explainable Ai, Causal Ai.
framework: Data Collection and Pre-processing: This first step remains similar to traditional machine learning. We gather and clean the data, ensuring its quality and relevance. However, causal AI requires careful consideration of the variables included, aiming to capture not just correlates but