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The AI community is more concerned about the black-box issue following the establishment of rules for trustworthy AIs that are safe to use. eXplainable Artificial Intelligence (XAI) techniques are aimed at producing ML models with a good interpretability-accuracy tradeoff via: (i) building white/gray-box ML …Now, everyone gets to go back on “Red” alert. “ The Tortured Poets Department ” gives everyone a full dose of the never-getting-over-it Taylor that no one …Explainable AI (XAI) is the class of systems that provide visibility into how an AI system makes decisions and predictions and executes its actions. XAI explains the rationale for the decision-making process, surfaces the strengths and weaknesses of the process, and provides a sense of how the system will behave in the future. 1.May 5, 2022 · MIT researchers have now developed a mathematical framework to quantify and evaluate the understandability of an explanation. 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