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An answer is not an explanation. As AI systems optimise for performance, the gap between output and understanding becomes harder to ignore. What we ask machines to explain reveals what we are willing—or unwilling—to understand ourselves.
Speed made AI usable. Explainability makes it accountable. As systems move into critical domains, trust can no longer rely on performance alone. It requires transparency, traceability and the ability to question how decisions are made.
