6.4 Explain Human-In-The-Loop (HITL) Strategies AI-TECHNICAL-PRACTITIONER Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   What scalability issue is associated with human-in-the-loop (HITL) systems?

   • AHITL systems cannot handle any automation
   • BHumans can process data faster than AI systems
   • CHuman oversight is difficult to scale to large volumes of data or requests
   • DHITL systems require less human involvement as they scale
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   Which statement best describes the role of a human in a human-in-the-loop (HITL) AI system?

   • AThe human passively observes the AI and does not influence its outputs
   • BThe human is an optional component that can be removed without affecting system performance
   • CThe human provides oversight and intervention at critical points in the AI workflow
   • DThe human is only involved during the initial training phase and not during operation
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   In a human-in-the-loop (HITL) workflow, which role involves labeling data to train or improve an AI model?

   • ADecision-maker
   • BAnnotator
   • CReviewer
   • DSystem architect
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which of the following is a common challenge of implementing human-in-the-loop (HITL) in AI systems?

   • AIt introduces latency because human review takes time
   • BIt eliminates the risk of human error
   • CIt simplifies the AI system architecture
   • DIt reduces the need for human expertise
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A healthcare startup uses an agentic AI to triage patient symptoms and recommend treatments. The startup wants to ensure patient safety but also wants to scale its services to many patients. Which HITL challenge is most likely to arise if they require human review for every recommendation?

   • AScalability issues, because the number of human reviewers may not keep up with patient volume.
   • BIncreased accuracy, because humans can catch errors.
   • CLower costs, because humans are cheaper than AI.
   • DReduced latency, because humans speed up the process.
   Reveal Solution Discussion Select an answer first