The Recall That Couldn't Find Its Own Decision

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Summary

This article argues that food traceability has advanced for product movement but not for the AI decisions that now shape safety outcomes. It explains how grading, routing, markdown, and recall-scoping models can create harm while leaving behind logs that are incomplete, editable, or impossible to reconcile across vendors. It also connects the problem to upcoming regulatory pressure, especially in the EU, where AI accountability and record-keeping requirements will increase. The piece claims a real solution must seal decisions before action, make logs tamper-evident, support offline verification, and use post-quantum signatures. It then positions Mickai’s Open Audit Record as an existing implementation built around those requirements.

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AI & Machine learning

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Mickai
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