What information is typically included in a model card?

• A. Only the source code
• B. Model performance metrics, inputs, outputs, training method, operating conditions, and ethical considerations
• C. Only the dataset size
• D. Only deployment location

Answer: (B)

Model cards summarize a model's capabilities, limitations, and context to support responsible deployment. The best answer includes model performance metrics, inputs and outputs, the training method and data used, the operating conditions under which the model is intended to work, and ethical considerations such as fairness, safety, privacy, and potential risks. This full set of information helps evaluators understand how the model behaves in real use, what it can and cannot do, how it was built, and what safeguards are needed.

Providing only the source code doesn’t convey how the model actually performs in practice or under what conditions it should be used. Focusing only on dataset size ignores how the model processes inputs, what outputs it produces, how well it generalizes, and what ethical or governance concerns might arise. Limiting information to the deployment location leaves out crucial details about performance, usage constraints, and safety considerations.