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Machine Learning Can Be Fair and Accurate - ScienceBlog com

Carnegie Mellon University researchers are challenging a long-held assumption that there is a trade-off between accuracy and fairness when using machine

Researchers challenge long-held assumption about ML trade-offs in public policy decisions

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