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Three MIT researchers built a mathematical framework for machine-learning explainability

Three researchers from the Massachusetts Institute of Technology, MIT have developed a mathematical framework to formally quantify and evaluate the understandability of explanations for machine-learning models. Yilun Zhou, an electrical engineering and computer science graduate student in the Computer Science and Artificial Intelligence Laboratory (CSAIL)… Read More »Three MIT researchers built a mathematical framework for machine-learning explainability

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