AWS Certified AI PractitionerResponsible AIMedium
A human resources department is implementing an AI-powered resume screening tool to streamline the hiring process. To prevent unintentional discrimination and ensure diverse candidate pools, the HR team plans to regularly audit the AI's decisions, compare its shortlists against human-generated ones, and provide a mechanism for candidates to appeal AI-driven rejections. This oversight process aims to ensure that humans remain ultimately in charge of critical decisions. Which Responsible AI concept is primarily being applied?
- AAI transparency
- BHuman-in-the-Loop (HITL)
- CAI privacy
- DAI robustness
Show answer & explanationAnswer & explanation
Correct answer: B. Human-in-the-Loop (HITL)
The regular auditing of AI decisions, comparing shortlists, and providing appeal mechanisms all signify human oversight and intervention in critical AI processes, which is the essence of Human-in-the-Loop (HITL).
Why the other options are wrong
- A. AI transparency is about understanding AI decisions, not human intervention.
- C. AI privacy concerns data protection, not human review of AI outputs.
- D. AI robustness is about system reliability, not human oversight.
Human-in-the-Loop (HITL)
Human-in-the-Loop (HITL) is an approach to AI where human intelligence is integrated into the machine learning process, often for tasks that AI struggles with or for critical decision oversight.
- Combines human judgment with AI efficiency.
- Crucial for high-stakes decisions and ethical considerations.
- Can involve human review, labeling, or decision override.
Memory trick: Humans guide the AI's hand.