What is Provenance Registry?
A provenance registry tracks the origin, lineage, and chain of custody for every piece of information in an AI system.
A provenance registry tracks the origin, lineage, and chain of custody for every piece of information in an AI system. Every fact is source-bound — you always know where information came from, when it was acquired, and through what processing pipeline it arrived.
Provenance metadata includes: Original source (document, API, user input, model output), Acquisition timestamp, Processing chain (which models or transformations modified the data), Confidence assessment (reliability of the source), and Usage history (which downstream decisions relied on this fact).
Provenance registries are essential for: Regulatory compliance (audit trail for AI decisions), Debugging (trace bad outputs to source data), Trust calibration (weight facts differently based on source reliability), and Liability (determine responsibility when AI decisions cause harm).
Why It Matters
When an AI system produces a wrong answer, the first question is "where did this information come from?" Without provenance, that question is unanswerable — and the liability is unlimited.
Frequently Asked Questions
What is a provenance registry?
A system that tracks origin, lineage, and chain of custody for every fact in an AI system. Every piece of information is source-bound — you always know where it came from.
Why does AI need provenance?
For debugging (trace bad outputs to bad inputs), compliance (audit trail), trust calibration (weight reliable sources higher), and liability (determine responsibility for AI errors).
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Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.
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