What are some real-world examples of explainable AI?
Explainable AI (XAI) is used in healthcare for transparent diagnosis, finance for credit scoring, and autonomous vehicles for decision-making.
Can you elaborate on how it's used in healthcare?
In healthcare, XAI helps doctors understand AI-driven diagnoses by providing insights into the decision-making process, improving trust.
What about its use in finance?
In finance, XAI is crucial for credit scoring, as it explains the factors influencing a credit decision, ensuring fairness and compliance.
Are there any challenges with explainable AI?
Yes, challenges include balancing model accuracy with interpretability and ensuring that explanations are understandable to non-experts.
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