Validate captions on representative data and test leakage | AIGP
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Validate captions on representative data and test leakage: Which validation plan best addresses these

AIGP Understanding How to Govern AI Development Hard

Quality validation and security testing answer different questions; both are required before deployment and during monitoring.

The question

A media company will deploy a generative tool that drafts captions from unreleased footage. Acceptance requires both caption quality and protection against unauthorized disclosure of footage or prompts. Which validation plan best addresses these interacting requirements?

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  1. Validate captions on representative data and test leakage and security.
    Representative quality testing and separate leakage and security testing provide evidence for both stated acceptance requirements.
  2. Red-team prompt leakage against the production model.
    Adversarial leakage testing is useful, but it does not validate caption quality on representative footage.
  3. Benchmark quality only, then rely on user reports for disclosure incidents.
    A quality benchmark is necessary but relying on post-deployment reports leaves disclosure risks insufficiently tested before launch.
  4. Check access permissions for footage and prompts.
    Access-control review addresses one security measure but does not establish caption quality or test model-mediated leakage.
The trap
When requirements name both quality and protection, require separate evidence for each risk category.

How to remember it

Quality validation and security testing answer different questions; both are required before deployment and during monitoring.

How many of these would you get right?

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