AI0-001 AI Security, Ethics and Governance Practice Question
Which TWO of the following are common techniques to improve the transparency and interpretability of an AI model?
⚠ Common exam trap
The AI0-001 exam often tests the distinction between techniques that improve model transparency (like SHAP and LIME) versus techniques that enhance privacy (like differential privacy) or model performance (like random forests or deep neural networks), leading candidates to confuse privacy-preserving methods with interpretability methods.
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
✓
Generate SHAP (SHapley Additive exPlanations) values
SHAP values are correct because they provide a unified measure of feature importance based on cooperative game theory, specifically Shapley values, which quantify the marginal contribution of each feature to a model's prediction. This makes the model's decision-making process transparent by showing how each input feature influences the output, which is a core technique for interpretability in AI governance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Generate SHAP (SHapley Additive exPlanations) values
Why this is correct
SHAP values explain the contribution of each feature to predictions.
- ✗
Use differential privacy to add noise to training data
Why it's wrong here
Differential privacy protects privacy, not interpretability.
- ✗
Implement a random forest algorithm
Why it's wrong here
Random forests are algorithms, not interpretability techniques.
- ✗
Use deep neural networks to increase model complexity
Why it's wrong here
Deep neural networks reduce transparency.
- ✓
Apply LIME (Local Interpretable Model-agnostic Explanations)
Why this is correct
LIME approximates the model locally to provide explanations.
About these practice questions
This AI0-001 question is part of Courseiva's 754-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.