As AI matures, it will have higher impacts on the industries trusting it. Be it for compliance reasons or to eliminate bias, there is a need for humans to understand the decision-making algorithm of the underlying AI system. This is where explainable AI comes in. In an article for The Enterprisers Project, Ness CTO, Moshe Kranc comments on several potential use cases for explainable AI.
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