What is explainable AI?

What is explainable AI?

Explainable AI refers to methods and techniques in AI that make the results of the models understandable to humans.

Why is explainability important in AI?

It's crucial for trust, accountability, and compliance, especially in sensitive areas like healthcare and finance.

Can you give an example of explainable AI in action?

Sure! In healthcare, an explainable AI model might show how it diagnosed a condition by highlighting relevant patient data.

What are some challenges in implementing explainable AI?

Challenges include balancing model accuracy with interpretability and the complexity of explaining deep learning models.