What are some case studies of explainable AI?
There are several notable case studies, such as the use of explainable AI in healthcare for diagnosing diseases, where models provide insights into their decision-making process.
Can you give me a specific example in healthcare?
Sure! One example is IBM Watson, which analyzes medical data and provides explanations for its treatment recommendations, helping doctors understand the reasoning behind its suggestions.
How does explainable AI improve trust in AI systems?
Explainable AI enhances trust by making AI decisions transparent, allowing users to understand and verify the reasoning behind outcomes.
Are there any challenges in implementing explainable AI?
Yes, challenges include balancing model complexity with interpretability and ensuring that explanations are understandable to non-experts.
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