Machine learning algorithms could increase ethnic bias – research

race

Machine learning algorithms used by US lenders could both help and penalise borrowers from ethnic minority groups, a new research paper argues.

The International Monetary Fund’s annual macro-financial research conference, held earlier this month, included a presentation on an updated draft paper by Andreas Fuster et al.

In Predictably unequal? The effects of machine learning on credit markets”, the authors look at a large administrative dataset on almost 10 million US mortgages originating

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