Explainable AI (XAI) is a set of techniques and strategies to address the complexity and opacity of machine learning (ML) which can lead to predictions that promulgate bias, discrimination, and unfairness. The prevalence of ML-based library tools and resources underscores the importance of appropriately and effectively utilizing XAI.
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