Define AI artifact: Which addition most directly closes | AIGP
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Define AI artifact: Which addition most directly closes the AI-specific policy gap?

AIGP Understanding the Foundations of AI Governance Hard

The policy should explicitly cover AI artifacts, provenance, version control, and supplier security responsibilities.

The question

A research institution’s legacy security policy covers access control, encryption, and incident handling for conventional software. Its AI research systems also depend on training data provenance, model versions, and supplier components. Owners, risk treatment, monitoring, and general data review are otherwise established. Which addition most directly closes the AI-specific policy gap?

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  1. Require independent penetration testing for every research model.
    Testing may identify selected vulnerabilities, but it does not establish broad policy requirements for provenance, versions, and suppliers.
  2. Add a separate annual security awareness course.
    Awareness may support culture, yet it does not establish controls for AI artifacts, lineage, versions, and supplier dependencies.
  3. Expand password rotation requirements for researchers.
    Password controls strengthen access security, but they do not address provenance, model-version dependencies, or supplier-specific AI risks.
  4. Define AI artifact, provenance, version, and supplier security requirements. ✓
    This directly extends legacy policy to the AI-specific assets and dependencies identified as missing from current security coverage.
The trap
Map the remedy to every stated gap: artifact, provenance, version, and supplier controls.

How to remember it

The policy should explicitly cover AI artifacts, provenance, version control, and supplier security responsibilities.

How many of these would you get right?

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