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Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI)
21 January 2019 25 January 2019
Recent technological advances rely on accurate decision support systems that have been constructed as black boxes. That is, the system’s internal logic is not available to the user, either for financial reasons or due to the complexity of system. This lack of explanation can lead to technical, ethical, and legal issues. For example, if the […] Read more