How can we improve AI interpretability?
An example of an AI chatbot conversation about enhancing the understanding of AI decisions.
How can we improve AI interpretability?
Improving AI interpretability involves making AI systems more transparent and understandable to users.
What are some techniques used for interpretability?
Some common techniques include feature importance, LIME, SHAP, and using simpler models.
Why is interpretability important in AI?
Interpretability is crucial for trust, accountability, and ensuring ethical AI usage.
Can you give an example of a real-world application?
Sure! In healthcare, interpretable AI can help doctors understand treatment recommendations.
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