Reliability and Safety in AI Quiz

Quiz covering Responsible AI Principles

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary goal of implementing 'human-in-the-loop' (HITL) systems in AI deployment?

2. 2

   When an AI model performs accurately on training data but fails to generalize to real-world, unseen data, what concept does this represent?

3. 3

   A healthcare AI model that identifies skin lesions is deployed in a new clinic. Over time, the camera quality and lighting conditions differ from the original training environment, causing the model's accuracy to drop. What is this phenomenon called?

4. 4

   To ensure AI safety, developers often use 'Red Teaming'. What is the purpose of this practice?

5. 5

   In the context of safety-critical AI, why is 'model interpretability' (explainability) considered a prerequisite for reliability?