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 Explainable AI important?
It's important because it helps build trust in AI systems, allows for better decision-making, and ensures accountability.
Can you give me an example of Explainable AI in action?
Sure! An example is a healthcare AI that explains its diagnosis by highlighting relevant patient data and medical history.
What are the challenges in implementing Explainable AI?
Challenges include balancing model accuracy with interpretability, and the complexity of explaining deep learning models.
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