VaulithNine questions, free
The canon · Data · AIS-3.4

For each high-risk model, describe the data used in training, including provenance, third-party sources, and any use of consumer data.

This is one of the twenty-five questions a carrier reviewer sends a vendor, in the words an examiner uses. Below it: the answers that make a reviewer stop on this item, derived by running Vaulith's rules engine on an estate that gets everything wrong, and the free questions that reach it.

What stops a reviewer here

One finding reaches this item.

Will escalateR-PROVENANCE · blocks this item

No training-data provenance for MDL-001

The training corpus is described in engineering documentation but has never been approved as a record. Because the model is consumer-impacting, it is the one an examiner is most likely to name, and the gap sits on exactly that model.

To fix: Produce a provenance record covering sources, date range, volume, de-identification step, and approval.

How it is scored

Credit per verdict, times the weight.

A critical item carries weight 3. A pass earns 1.00 of it, a questioned answer 0.60, an escalated one 0.20 and a stop 0.00. An unanswered item earns nothing and still takes the citation penalty, so a profile cannot be improved by leaving an inconvenient question blank. The whole arithmetic is shown on the homepage and in every assessment.

Try it in ninety seconds

The free snapshot asks about this.