What are the benefits of explainable AI?
Explainable AI helps users understand how decisions are made, increasing trust and transparency.
Can you give me some specific examples of where it's used?
Sure! It's used in healthcare for diagnosis, finance for credit scoring, and in legal systems for risk assessment.
How does it improve trust in AI systems?
By providing clear insights into the decision-making process, users can verify and validate AI outputs.
Are there any challenges associated with implementing explainable AI?
Yes, challenges include balancing complexity and interpretability, as well as ensuring compliance with regulations.
What future trends do you see in explainable AI?
Future trends may include more standardized frameworks for explainability and integration with ethical AI practices.
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