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Measuring Trust in AI Products: Behaviour, Calibration and Validation
Trust in an AI product is best measured through behaviour (acceptance, overrides, undo, verification, delegation, return after errors) interpreted against measured quality. This guide covers the signals, the trust-versus-quality grid that separates earned trust from over-reliance, building and validating a composite index, and common measurement mistakes.
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