Model Card
nounid
4979·updated Aug 28, 2026verified
short documents accompanying trained machine learning models that provide benchmarked evaluation in a variety of conditions, such as across different cultural, demographic, or phenotypic groups (e.g., race, geographic location, sex, Fitzpatrick skin type) and intersectional groups (e.g., age and race, or sex and Fitzpatrick skin type) that are relevant to the intended application domains. [They] also disclose the context in which models are intended to be used, details of the performance evaluation procedures, and other relevant information.
MWE
Attested in
No recorded attestations. They are written when an MWE tagging stage is completed, stamped with the pack version and the document’s digest.
Classifications
Entity Type
Artifact85%llm-generatedllm:claude-haiku-4-5
Sensitivity
—60%llm-generatedllm:claude-haiku-4-5
Information Class
—50%llm-generatedllm:claude-haiku-4-5
Variants
- plural
- Model Cards
- possessive
- Model Card's
- pluralpossessive
- Model Cards'
Framework definitions
- §1
- A brief document that discloses information about an AI model, like explanations about intended use, performance metrics and benchmarked evaluation in various conditions, such as across different cultures, demographics or race.
- §1
- short documents accompanying trained machine learning models that provide benchmarked evaluation in a variety of conditions, such as across different cultural, demographic, or phenotypic groups (e.g., race, geographic location, sex, Fitzpatrick skin type) and intersectional groups (e.g., age and race, or sex and Fitzpatrick skin type) that are relevant to the intended application domains. [They] also disclose the context in which models are intended to be used, details of the performance evaluation procedures, and other relevant information.
- §1 · legacy_primary
- short documents accompanying trained machine learning models that provide benchmarked evaluation in a variety of conditions, such as across different cultural, demographic, or phenotypic groups (e.g., race, geographic location, sex, Fitzpatrick skin type) and intersectional groups (e.g., age and race, or sex and Fitzpatrick skin type) that are relevant to the intended application domains. [They] also disclose the context in which models are intended to be used, details of the performance evaluation procedures, and other relevant information.DR-088 backfill from the noun definition column
Outgoing relationships
No outgoing triples
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Incoming relationships
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No other term currently asserts a relationship to this one.