When documenting information about machine learning (ML) models, which of the following artifacts BEST helps enhance stakeholder trust?

The correct answer is C. Model card. The model card is a governance artifact that communicates intended use, performance characteristics, limitations, fairness considerations, and ethical notes of an ML model. AAISM governance materials highlight that stakeholder trust comes from transparency and explainability. Whi

AI Security Strategy and Governance

Question

Options

AHyperparameters
BData quality controls
CModel card
DModel prototyping

How the community answered

(39 responses)

A
3% (1)
B
3% (1)
C
90% (35)
D
5% (2)

Explanation

The model card is a governance artifact that communicates intended use, performance characteristics, limitations, fairness considerations, and ethical notes of an ML model. AAISM governance materials highlight that stakeholder trust comes from transparency and explainability. While hyperparameters and data quality controls are technical details, they lack stakeholder-facing clarity. Model prototyping is part of development but not a governance record. Model cards are explicitly recommended to: Provide explainability and context for decision-making. Demonstrate governance, transparency, and compliance. Enable stakeholders (regulators, auditors, business leaders) to trust the system. Therefore, the model card is the artifact that best enhances trust.

Topics

#Model documentation#Model cards#Stakeholder trust#ML governance

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