HRL needs model predictions to be interpretable so stakeholders can understand outputs. Which Google Cloud product should you use?

Explainable AI (XAI) is the correct choice because it provides tools and frameworks to understand, interpret, and evaluate machine learning models, which directly addresses the requirement for interpretable predictions for stakeholders. Vision AI is a pre-trained model for image analysis and does not inherently provide interpretability for custom models. Google Cloud's operations suite (formerly Stackdriver) is for monitoring, logging, and tracing, not for model interpretability. Jupyter Notebooks are an interactive development environment for data science and machine learning, but they are a tool for development, not a specific product for generating model explanations.