The Provenance Standard
Summary
This article argues that generative AI needs verifiable provenance, not just better explanations or guardrails. It makes the case that consequential outputs should carry sealed, tamper-evident records showing which model produced them, what inputs it used, when it ran, and what it returned. The piece presents Mickai’s Open Audit Record as an offline-verifiable, post-quantum audit trail designed to support sovereign intelligence. It also frames provenance as a compliance and liability issue for regulated sectors such as healthcare, finance, legal, and public institutions. The core message is that AI systems earn trust by proving their work, not by asking for faith.
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