What is the importance of explainable AI?
Explainable AI (XAI) is crucial because it helps users understand how AI systems make decisions, ensuring transparency.
Why is transparency important in AI?
Transparency builds trust between users and AI systems, allowing for better adoption and accountability in decision-making.
Can you give examples of where explainable AI is used?
Sure! Explainable AI is used in healthcare for diagnosis, finance for credit scoring, and autonomous vehicles for safety.
What are the challenges in implementing explainable AI?
Challenges include balancing complexity and interpretability, ensuring accuracy, and meeting regulatory requirements.
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