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Explainability - What is the theory of explainability?


The theory of explainability in AI/ML algorithms posits that explainability can be achieved by (1) rendering the entire decision-making process transparent and understandable and (2) providing a specific explanation for each decision. This is because a single explanation is unlikely to apply to all decisions.