Natalia Bailey

FinRegLab is currently undergoing empirical research together with Stanford University to evaluate the implications of using machine learning with the use of models that take into account requirements of U.S. law (fair lending and adverse action), and general robustness issues. The empirical research is getting to answer questions around the explainability of credit underwriting models.

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