The correct choice is Build transparency and explainability into the assistant so users can understand how responses are generated. This guideline helps maintain user trust and ensures the assistant behaves responsibly during conversations.

Build transparency and explainability into the assistant so users can understand how responses are generated supports accountability and helps detect and mitigate bias. Implementing explainability tools and clear user facing disclosures lets customers understand limitations and provenance of responses and enables human oversight and remediation when issues arise.

AWS Shield Advanced is focused on DDoS protection and network security so it does not address model behavior, transparency, or explainability and it is not relevant to responsible AI guidelines.

Use proprietary customer datasets even if consent is not explicit violates privacy and data governance principles and undermines trust. Responsible AI requires proper consent and careful handling of customer data.

Optimize solely for speed and efficiency prioritizes performance at the expense of fairness, accuracy, and user trust. Ethical deployment requires balancing efficiency with transparency, privacy, and human oversight.

Full AWS Practitioner Certification Question