Transparency, Interpretability and Explainability CT-AI Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is the purpose of SHAP (SHapley Additive exPlanations) in the context of AI explainability?

   • ATo assign a contribution value to each feature for a specific prediction
   • BTo increase the accuracy of the model by tuning hyperparameters
   • CTo reduce the dimensionality of the feature space
   • DTo visualize the model's architecture
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A bank deploys an AI system that approves or rejects loan applications. The bank's compliance officer needs to demonstrate to a regulator that the system's decision-making process is documented and auditable. Meanwhile, the loan applicants want to know why their specific application was rejected. The bank's data science team wants to understand the model's overall behavior to improve it. Which combination of actions best addresses the needs of all three stakeholders?

   • APublish a high-level system description for the regulator, provide individual rejection reasons to applicants, and have the data science team analyze global feature importance.
   • BProvide the complete source code and training data to the regulator, applicants, and data science team.
   • CAsk the data science team to create a detailed technical report for the regulator and applicants, and use the same report for internal model improvement.
   • DUse a single global explanation, such as a feature importance chart, and share it with all three stakeholder groups.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A government agency is deploying an AI system to flag suspicious financial transactions for investigation. A civil liberties group is concerned about the system's impact on privacy. The agency publishes a document explaining the system's purpose, the types of data it uses, and the safeguards in place to protect citizens' data. This action is primarily an example of:

   • AExplainability, as it provides a reason for a specific decision.
   • BInterpretability, as it explains how the model makes its decisions.
   • CTransparency, as it openly communicates the system's existence, purpose, and data usage to the public.
   • DRegulatory compliance, as it fulfills a specific legal requirement for explainability.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the primary focus of 'interpretability' in an AI-based system?

   • AEnabling humans to understand how the model works and why it produces certain outputs
   • BProviding a natural-language justification for each individual prediction
   • CMaking the system's overall design and data sources publicly available
   • DEnsuring the model's predictions are always correct and unbiased
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   In the context of AI-based systems, what does 'transparency' primarily refer to?

   • AThe requirement that the system must be open-source software
   • BThe ability of the system to explain its decisions in natural language
   • CThe ability to trace how a specific decision was made for a single input
   • DThe degree to which the inner workings of the system are open to inspection and understanding
   Reveal Solution Discussion Select an answer first