Enhanced Techniques For Bias Analysis
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United States of America Patent
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Issued Date -
Dec 2, 2021
app pub date -
Jun 26, 2020
filing date -
Jun 26, 2020
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Abstract
A fairness metric of decisions pertaining to a plurality of candidates indicated in a data set is estimated. Using a Hamiltonian Monte Carlo sampling algorithm, sample sets corresponding to random variables of a null model and an alternate model are obtained. A respective kernel density estimator is fitted on at least some sample sets, and importance sampling is implemented on additional samples generated using the kernel density estimators. The estimated fairness metric is provided via one or more programmatic interfaces.
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