ML Model Card Review Lab

Goal

Reinforce Model documentation, Evaluation, Bias review, Approval workflow through a small, inspectable activity.

Concepts Reinforced

• Model documentation
• Evaluation
• Bias review
• Approval workflow

Prerequisites

• A hypothetical or existing model scenario

Estimated Cost

Exact Steps

1. Write intended use, forbidden use, training data source, evaluation metric, and risk statement.
2. Add known limitations and monitoring expectations.
3. Define who can approve production deployment.
4. List which artifacts must be retained for audit.

{
  "intendedUse": "Prioritize support tickets for review",
  "notFor": "Automated denial of customer service",
  "primaryMetric": "macroF1",
  "reviewRequiredBeforeProduction": true
}

Verification

• The model card explains what the model should not be used for.
• Metrics match the business risk.
• Approval is separated from model authoring.

Cleanup Steps

• No cleanup for design-only path. Delete any temporary SageMaker artifacts if created.

Sources and Review Metadata

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