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Fighting discrimination in mortgage lending

MIT researchers have developed a technique that removes multiple types of bias from a mortgage lending dataset, which improves the accuracy and fairness of machine learning models that are trained using those data. The researchers use their technique to create a fair loan classifier model that could be used by lenders to streamline decision-making.
United States Jashandeep Singh Amar Gupta Sariba Khan Artificial Intelligence Laboratory Floyd Buchanan High School
Source: mit.edu

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