Transparency, Interpretability and Explainability CT-AI Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   Which regulatory framework explicitly includes a 'right to explanation' for decisions made by automated systems?

   • AThe Payment Card Industry Data Security Standard (PCI DSS)
   • BThe Health Insurance Portability and Accountability Act (HIPAA) in the United States
   • CThe International Organization for Standardization (ISO) 9001
   • DThe General Data Protection Regulation (GDPR) in the European Union
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2. 12foundation · easy

   What is a characteristic of an inherently interpretable model?

   • AIts internal logic can be directly inspected and understood by humans
   • BIt can only be used for regression tasks, not classification
   • CIt always has higher accuracy than black-box models
   • DIt requires post-hoc explanation tools to be understood
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4. 13application · medium

   A logistics company is using a random forest model to predict delivery delays. The operations manager wants to understand which factors, such as weather or traffic, are most influential on the model's predictions overall. The data science team needs to explain a specific prediction for a delayed package to a customer. Which pair of techniques should they use?

   • AUse a decision tree for the operations manager's global view, and use the same decision tree for the customer's specific prediction.
   • BUse feature importance for the operations manager's global view, and use LIME for the customer's specific prediction.
   • CUse SHAP for the operations manager's global view, and use the same SHAP values for the customer's specific prediction.
   • DUse LIME for the operations manager's global view, and use feature importance for the customer's specific prediction.
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5. 14foundation · easy

   How do transparency, interpretability, and explainability relate to each other in an AI-based system?

   • AThey are interchangeable terms that describe the same quality characteristic
   • BThey are sequential phases in the AI development lifecycle, with transparency first, then interpretability, then explainability
   • CThey are complementary concepts that together contribute to the overall understandability and trustworthiness of the system
   • DThey are independent concepts with no overlap or influence on each other
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6. 15foundation · easy

   Which statement best describes the relationship between transparency and explainability?

   • AExplainability is a subset of transparency, focusing only on the model's code
   • BA transparent system always provides explanations for every decision
   • CThey are mutually exclusive; a system cannot be both transparent and explainable
   • DTransparency focuses on the system's openness, while explainability focuses on justifying individual decisions
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