Summarize the definition of AI explainability.
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AI explainability is an emerging field which seeks to understand the reasoning behind a given AI decision. This involves analyzing an AI system's data visualizations, explanations, predictions, and decisions in order to determine how and why it reached a conclusion. It is a necessary prerequisite for ensuring an AI system can be trusted and is used in applications such as healthcare, finance, and autonomous systems.
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