How does explainable AI work?
An example of an AI chatbot conversation about how explainable AI functions.
Can you explain how explainable AI works?
Sure! Explainable AI (XAI) refers to methods and techniques that make the outputs of AI systems understandable to humans.
Why is explainability important in AI?
Explainability is crucial because it helps build trust, ensures accountability, and allows users to understand AI decisions.
What are some common techniques used in explainable AI?
Common techniques include LIME, SHAP, and decision trees, which help interpret model predictions.
Can you give an example of explainable AI in action?
Certainly! In healthcare, XAI can help doctors understand why an AI system recommends a specific treatment.
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