Examples
Worked examples
- Is an instance
An external auditor producing a SMACTR-compliant audit report for a hiring-screening model.
- Is an instance
A regulatory pre-market conformity assessment for an EU AI Act high-risk system.
Counter-examples
Looks similar, but isn't
- Not an instance
A model card written by the developing team (self-reporting, not an audit).
- Not an instance
A code review of training scripts.
Editorial commentary
Model audits range from internal pre-deployment reviews (Raji et al.'s SMACTR framework) to third-party post-deployment audits required by emerging regulation (EU AI Act high-risk obligations). Audits produce evidentiary artefacts: test reports, sub-group performance tables, failure-mode catalogues, and remediation plans.
References
- Raji, Smart, White, Mitchell et al., 'Closing the AI accountability gap' (FAccT 2020).
Also known as
AI model audit
Machine-readable encodings
Use in your systems
xml
<role vocab="credit"
vocab-identifier="https://casrai.org/dictionary/"
vocab-term="Model audit"
vocab-term-identifier="https://casrai.org/dictionary/term/model-audit" />json
{
"@context": "https://schema.org",
"@type": "DefinedTerm",
"name": "Model audit",
"identifier": "https://casrai.org/dictionary/term/model-audit",
"description": "A structured assessment of a machine-learning model by an independent party against pre-specified criteria covering performance, robustness, fairness, security, privacy, and conformance with stated policy.",
"inDefinedTermSet": "https://casrai.org/dictionary/domain/ai-and-ml-research-outputs/",
"url": "https://casrai.org/dictionary/term/model-audit",
"sameAs": [
"AI model audit"
],
"license": "https://creativecommons.org/licenses/by/4.0/"
}
