Question

A healthcare company deploys a generative AI assistant that answers patient questions about medications. During testing, the team notices the model occasionally states confident but factually incorrect drug interaction information. Which responsible-AI dimension does this problem most directly relate to, and what is an appropriate mitigation?

Accepted Answer

Veracity and robustness — ground responses in a verified medical knowledge base and add human review for high-stakes answers

Answer

Fairness — retrain the model on a demographically balanced dataset to remove bias

Answer

Explainability — generate feature attribution reports for each response using SageMaker Clarify

Answer

Governance — publish a model card documenting the training data lineage