AI0-001 AI Security, Ethics and Governance Practice Question
A company is developing an AI chatbot for customer service. The legal team is concerned that the chatbot might generate responses that violate privacy regulations. Which governance mechanism should be implemented to mitigate this risk?
⚠ Common exam trap
CompTIA often tests the distinction between preventive controls (like HITL) and detective or protective controls (like encryption or anonymization), and the trap here is that candidates confuse data security measures (encryption, anonymization) with governance mechanisms that directly control model output behavior.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement a human-in-the-loop review process for high-risk responses.
A human-in-the-loop (HITL) review process directly addresses the risk of privacy violations by ensuring that high-risk responses are reviewed by a human before being sent to the customer. This governance mechanism provides a safety net for unpredictable outputs from the generative AI model, which may inadvertently leak personally identifiable information (PII) or violate data protection regulations like GDPR or CCPA. Unlike technical controls that only reduce the attack surface, HITL offers real-time compliance oversight for the chatbot's natural language generation (NLG) outputs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use explainable AI techniques to understand why the chatbot generates certain responses.
Why it's wrong here
Explainability helps understand behavior but does not prevent the chatbot from generating harmful outputs.
- ✗
Encrypt all chatbot conversations at rest and in transit.
Why it's wrong here
Encryption protects data from unauthorized access but does not prevent the chatbot from generating privacy-violating responses.
- ✓
Implement a human-in-the-loop review process for high-risk responses.
Why this is correct
Human review can catch and block responses that violate privacy regulations before they are sent to customers.
- ✗
Anonymize the training data used to train the chatbot.
Why it's wrong here
Anonymization reduces but does not eliminate the risk of the chatbot generating responses that contain personal information.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.