Explainable AI (XAI) By A Staff Writer / July 10, 2025 Welcome to your Explainable AI (XAI) Level: Expert What is the goal of Explainable AI? To increase the speed of model training To make AI decisions understandable to humans To replace traditional models To create more complex models None Which method is used to understand feature importance in XAI? SHAP (SHapley Additive exPlanations) Fourier Transforms Singular Value Decomposition Monte Carlo Simulation None What is a black-box model in AI? A model with transparent operations A model whose inner workings are difficult to interpret A model that only works in dark mode A model trained on limited data None Which technique helps visualize decision-making in neural networks? Gradient-weighted Class Activation Mapping (Grad-CAM) Naïve Bayes ReLU Activation Kernel Density Estimation None Why is explainability important in healthcare AI systems? To speed up decision-making To ensure doctors trust and understand AI recommendations To replace medical professionals To eliminate the need for clinical trials None Time's up
