How do AI engineers ensure that machine learning models are explainable, especial... | AI Interview

Question: How do AI engineers ensure that machine learning models are explainable, especially in industries like finance or healthcare?

Answer: Explainability is crucial in high-stakes industries. Tools like LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations) are commonly used to make AI decisions understandable. These tools break down the contributions of each feature in a model’s decision-making process, ensuring transparency. This is particularly important in healthcare, where doctors must understand how an AI reached a diagnosis