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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
The need for interpretable and accountable intelligent systems grows along with the prevalence of artificial intelligence ( AI ) applications used in everyday life. Explainable AI ( XAI ) systems are intended to self-explain the reasoning behind system decisions and predictions. Researchers from dif
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