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**Question 2:** Explain the concept of AI explainability and why it is important for building trust in AI systems. *AI explainability* refers to the ability to understand and explain how an AI system makes decisions. It is important for building trust in AI systems because it allows users to understand the rationale behind the system's outputs and identify potential biases or errors. Explainable AI can also help improve the performance of AI systems by providing insights into the factors that influence their decisions.
