Why is model interpretability important in AI?

Why is model interpretability important in AI?

Model interpretability is crucial because it helps users understand how AI makes decisions, ensuring transparency and trust.

Can you give me an example of a situation where lack of interpretability caused issues?

Sure! In healthcare, an opaque model might suggest a treatment that seems effective but could be harmful, leading to patient distrust.

What are some methods to improve model interpretability?

Common methods include using simpler models, feature importance analysis, and visualization techniques to explain predictions.

How does interpretability affect regulatory compliance?

Interpretability is often required for compliance with regulations, as it allows stakeholders to understand and justify AI decisions.

Are there any trade-offs between model accuracy and interpretability?

Yes, often more complex models achieve higher accuracy but are less interpretable, creating a trade-off that needs careful consideration.