AI & ML

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AI Uncertainty: Why Confidence Scores Are Not Enough

TL;DR AI uncertainty is not one measurement. Token entropy describes prediction variability, semantic entropy examines variation in meaning, and calibration tests whether confidence estimates correspond to observed correctness. None replaces current evidence or grants permission to act. For an enterprise assistant, define the claim being evaluated, preserve missing evidence as missing, and provide a deliberate […]

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AI Output Verification: Confidence Is Not Evidence

TL;DR AI output verification should assess specific claims against appropriate evidence, not assign a blanket trust score to a polished response. Separate supportability, capacity, isolation, and resilience, then record what supports each conclusion and where that support stops. This article develops an evidence contract for an infrastructure assistant evaluating two Kubernetes clusters, including a worked

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