Reliability and Safety in AI Quiz

What you'll be asked

1. What is the primary goal of implementing 'human-in-the-loop' (HITL) systems in AI deployment?
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. 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. To ensure AI safety, developers often use 'Red Teaming'. What is the purpose of this practice?
5. In the context of safety-critical AI, why is 'model interpretability' (explainability) considered a prerequisite for reliability?

Answers and explanations come after you submit.