Explainable AI, also known as XAI, refers to the ability of an AI system to provide clear explanations of its decisions and actions in a way that humans can understand. It is an important consideration in the development of AGI because as AI systems become more complex and sophisticated, it becomes increasingly difficult for humans to understand how they are arriving at their decisions.
Explainability is important for several reasons. Firstly, it can help build trust and confidence in AI systems. If humans can understand how an AI system is making decisions, they are more likely to trust and accept thos....
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