A public-sector multi-agent assistant will recommend benefit options. Leadership requires human-AI experience (HAX) and responsible AI controls in the logical design—not only accuracy metrics. Which design package best addresses this?
Select an answer to reveal the explanation.
Short Explanation
Correct answer: B. HAX and responsible AI are about dignity and control: say you’re AI, let people edit or reject, hand off to humans, ground policy claims, and keep an audit trail. Dark patterns like fake human impersonation are the opposite of the skill the exam tests.
Full Explanation
Architects must design controls for human-AI experience (HAX) and responsible AI principles. Option B includes disclosure, user agency, human escalation, grounding/citations, and accountability logging—appropriate for public-sector benefit recommendations.
Option A violates transparency and human oversight.
Option C is deceptive and unethical/unauthorized impersonation.
Option D overclaims certainty and can create harmful overreliance.
Exam tip: Responsible AI multi-agent answers emphasize transparency, human oversight, contestability, and grounding—not conversion hacks.