6.4 Explain Human-In-The-Loop (HITL) Strategies AI-TECHNICAL-PRACTITIONER Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which of the following is a key benefit of incorporating human-in-the-loop (HITL) in AI systems?

   • AIt improves accuracy and builds trust by allowing humans to catch and correct mistakes
   • BIt guarantees that the AI system will never make an error
   • CIt eliminates the need for ongoing monitoring of the AI system
   • DIt increases the speed of AI decision-making by removing human delays
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A nonprofit organization uses an agentic AI to draft grant proposals. The organization wants to ensure the proposals are compelling and accurate. Which HITL approach is most appropriate?

   • ALet the AI submit proposals directly to funders.
   • BTrain the AI on past successful proposals and rely on its learning.
   • CHave a human grant writer review and edit the AI's drafts before submission.
   • DUse the AI to generate ideas, but have a human write the final proposals from scratch.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A government agency uses an agentic AI to process benefit applications. The agency wants to ensure that decisions are fair and unbiased. Which HITL role is most critical for this objective?

   • ADecision-maker, to set the overall policy for benefit eligibility.
   • BReviewer, to examine AI decisions for potential bias before they are finalized.
   • CAnnotator, to label applications for training the AI.
   • DData engineer, to clean the training data to remove bias.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the primary purpose of human-in-the-loop (HITL) in an AI system?

   • ATo involve humans in the AI workflow to review, correct, or approve outputs, improving reliability and trust
   • BTo eliminate the need for training data by using human experts in real time
   • CTo completely replace automated decision-making with human judgment
   • DTo speed up AI processing by removing human oversight from the loop
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A customer support organization deploys an agentic AI that handles common queries and escalates complex issues to human agents. The escalation process currently requires a human to manually review every escalated case, leading to long wait times for customers. Which change would best reduce latency while maintaining oversight?

   • AUse a triage system where the AI pre-classifies escalated cases by urgency and routes only high-priority cases to immediate human review.
   • BEliminate human review entirely and let the AI resolve all cases.
   • CHave the AI automatically resolve all escalated cases after a 24-hour waiting period.
   • DIncrease the number of human reviewers to handle the volume.
   Reveal Solution Discussion Select an answer first