Why AI Hallucinations Are a Quality Engineering Problem

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The first time most teams encounter a hallucination in production, they treat it like a bug. They investigate the specific output, trace it back to a prompt or a context window, adjust something, and move on. What they do not do is ask the more important question: how many other outputs like this have already reached users without anyone noticing?That question is uncomfortable because the honest answer, for most enterprise AI deployments, is that nobody knows.