AI Accuracy

AI accuracy refers to how often an AI system's outputs are correct, measured against known right answers or expert review for the tasks it performs. For governance and compliance teams, it matters because inaccurate outputs can lead to wrongful decisions in areas like hiring, lending, healthcare, and customer communications, which can trigger regulatory scrutiny, liability, and reputational harm. Organizations are increasingly expected to define accuracy thresholds, test systems before and after deployment, and document how errors are detected and corrected.

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