Reproduce the disclosure across controlled model | AIGP
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Reproduce the disclosure across controlled model: Which evidence should be prioritized?

AIGP Understanding How to Govern AI Development Hard

Controlled variants separate model, retrieval, and configuration effects, addressing the unresolved cause while containment remains active.

The question

An internal employee-assistance chatbot exposed a confidential fragment during an incident. Containment is underway, but the root cause is unknown and the chatbot uses a supplier model with changing retrieval data. Before approving resumed access, leaders need evidence distinguishing a model leakage issue from a retrieval or configuration issue. Which evidence should be prioritized?

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  1. Compare incident counts before and after access restrictions.
    Incident counts indicate whether containment changed observed events, but they do not identify the component causing confidential disclosure.
  2. Review the supplier’s latest security certification.
    A certification may address supplier controls generally, but it cannot distinguish leakage caused by this deployment’s retrieval or configuration.
  3. Reproduce the disclosure across controlled model, retrieval, and configuration variants.
    Controlled variants isolate interacting causes while preserving evidence about the deployed context and supplier dependency before access resumes.
  4. Ask the supplier to provide a root-cause report and revised incident-response procedure.
    Supplier analysis and procedures help governance, but an unverified report may not distinguish local retrieval or configuration causes.
The trap
When responsibility is uncertain, vary one relevant component at a time and test the actual deployment path.

How to remember it

Controlled variants separate model, retrieval, and configuration effects, addressing the unresolved cause while containment remains active.

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