AWS Certified AI PractitionerResponsible AIMedium
A company is deploying an AI system for automated hiring. To adhere to Responsible AI best practices, they establish a clear process for human oversight, including review points where a human can override the AI's decision and mechanisms for appealing decisions. Which aspect of Responsible AI is this practice primarily addressing?
- AModel Interpretability
- BAlgorithmic Auditability
- CHuman-in-the-Loop (HITL)
- DData Governance
Show answer & explanationAnswer & explanation
Correct answer: C. Human-in-the-Loop (HITL)
Establishing a process for human oversight, review points, and override mechanisms directly implements the Human-in-the-Loop (HITL) concept, where human judgment is integrated into an AI system's workflow.
Why the other options are wrong
- A. Model Interpretability is about understanding how a model makes decisions, not necessarily providing a mechanism for human intervention.
- B. Algorithmic Auditability implies the ability to examine and verify an algorithm's processes and outputs, which is related but not the direct act of human intervention described.
- D. Data Governance focuses on managing data quality, privacy, and usage, not direct human intervention in live AI decisions.
Human-in-the-Loop (HITL)
Human-in-the-Loop (HITL) is an approach to AI development and deployment where human intelligence is combined with machine intelligence to achieve better outcomes, often involving human review and intervention.
- Crucial for high-stakes AI applications.
- Allows for human judgment and ethical oversight.
- Can improve model accuracy and reduce bias over time.
Memory trick: Humans and AI, a powerful pair.