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In this paper we study the limitations of Machine Learning (ML) algorithms for predicting juvenile recidivism. Particularly, we are interested in analyzing the trade-off between predictive performance and fairness. To that extent, we evaluate fairness of ML models in conjunction with SAVRY
This report presents a European view of Artificial Intelligence (AI) based on independent research and analysis by the European Commission Joint
Research Centre.