You are designing the human-AI experience for a multi-agent legal research assistant used by junior associates. Responsible AI stakeholders require transparency about agent actions, ability to intervene, and clear limits on autonomy for filing-related recommendations. Which design elements should you include?
Select an answer to reveal the explanation.
Short Explanation
Correct answer: D. Architecture must support human-AI experience (HAX) and responsible AI: visibility, intervention, calibrated autonomy, and honest limits. Opaque finals (A), silent auto-filing (B), and false authority (C) conflict with those principles. Build approval workflows and clear UX affordances into the logical design.
Full Explanation
AI-500 includes designing controls and functionality for human-AI experience (HAX) and adherence to responsible AI principles. Multi-agent systems can feel like black boxes; HAX design exposes which agent acted, what tools were used (appropriately redacted), and where humans must decide. For legal and other high-stakes domains, recommendations should not silently execute irreversible actions. Options A–C increase automation bias and risk. Specify UX states for waiting on human input, audit trails of overrides, and content that avoids overclaiming. Tie HAX to autonomy levels defined per agent.