Auditing Algorithms for Bias
Harvard Business Review
OCTOBER 24, 2018
Finally, the tool examines the false positive rate across different groups and enforces a user-determined equal rate of false positives across all groups. False positives are one particular form of model error: instances where the model outcome said “yes” when the answer should have been “no.”
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