An AI-generated summary might be 90% accurate or 60% accurate, but without a confidence score you won't know which—and confidence levels vary by section, not just overall. Asking AI to rate its certainty on different parts of a summary helps you know which facts are solid and which need human verification before you rely on them.
Confidence scoring is a measure of how certain an AI model is about the accuracy of a generated output, indicating which parts of a workplace summary, timeline, or incident report are well-supported by your source material versus potentially fabricated or uncertain.
Understanding confidence scores helps you audit AI-assisted documentation before submitting it to HR or legal counsel, allowing you to flag and verify low-confidence claims so your records hold up under scrutiny and do not expose you to credibility challenges.
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