Paul Bryant • 9/14/2026

AI Confidence Is Not Evidence: Building an Evidence Contract

This article distinguishes AI confidence calibration from evidence qualification, arguing that agents need both. It proposes an evidence contract that preserves observation metadata, exposes missing or duplicated information, and links operational claims to supporting records. Using a checkout outage scenario, it shows how plausible explanations can inherit false credibility from irrelevant or duplicated evidence, and outlines a pattern to prevent uncertainty from disappearing inside polished answers.

0 comments

#ai #observability #Agents