AAIA emphasizes that transparency and interpretability require clear explanations of how the model functions, what features drive predictions, and how decisions are derived.
Creating documentation and visual interpretability tools (option C) provides:
* Feature importance breakdowns
* Decision pathway visualizations
* Examples of prediction reasoning
* Plain-language explanations for nontechnical stakeholders
* Evidence that can be validated during audits
While training stakeholders (A) is helpful, it does not make the model itself clearer.
A rule-based system (B) supports validation, not interpretability.
Simplifying the model (D) may affect accuracy and is not necessary if documentation and interpretability tooling solve the issue.
Therefore, the best approach is to improve interpretability through clear documentation and visualization.
References:
AAIA Domain 5: Explainability and Transparency Controls
AAIA Domain 3: Auditability and Documentation Requirements