What are some techniques for AI explainability?
An example of an AI chatbot conversation about AI explainability techniques.
What are some techniques for AI explainability?
There are several techniques for AI explainability, including LIME, SHAP, and model-agnostic methods.
Can you explain LIME and how it works?
LIME, or Local Interpretable Model-agnostic Explanations, explains individual predictions by approximating the model locally with an interpretable one.
What about SHAP? How is it different from LIME?
SHAP, or SHapley Additive exPlanations, provides a unified measure of feature importance based on cooperative game theory, offering consistent and accurate explanations.
Are there any visual tools for these techniques?
Yes, tools like SHAP's summary plots and LIME's local explanation visualizations help users understand model predictions better.
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