Why AI Confidence Without Proof Is a Design Flaw, Not a Feature

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A developer on DEV Community argues that the most dangerous flaw in AI systems is confidence that outpaces actual evidence. He describes building a workflow where an AI agent is never permitted to self-certify completion — every claim must be verified before the process moves forward. The system also uses a separate AI model to independently audit outputs, flagging results as supported or uncertain. In a documented session, the agent caught itself asserting that certain profile fields were visible without having actually confirmed them on screen, then corrected the claim after real verification. The author's core argument is that sincerity and accuracy are not the same thing, and systems that cannot distinguish between the two can cause harm even while functioning as intended.

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