Which of the following BEST describes the role of model cards in AI solutions?
A.
They are primarily used to visualize the performance of AI models
B.
They are used to automatically fine-tune AI models by adjusting hyperparameters based on user feedback
C.
They provide a standardized way to document the training data and AI model use cases
D.
They help developers create synthetic data and train AI models
The Answer Is:
C
This question includes an explanation.
Explanation:
AAISM positions model cards as standardized documentation artifacts that record intended use and out-of-scope use, training/evaluation data characteristics, performance metrics across groups, limitations/risks, and governance controls/owners. Their purpose is transparency and assurance, not automated tuning or synthetic data generation. Visualization (A) may appear within a card, but the core role is structured documentation for governance, risk, and compliance.
[References: AI Security Management™ (AAISM) Body of Knowledge — Documentation & Transparency Artifacts; Model Cards for Governance, Risk, and Assurance; Intended Use, Limitations, and Performance Disclosure., ===========]
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