Wednesday 18 April 2018

UK police train machine-learning model using Experian data that stereotypes people based on garden size, first names, and postal codes

a post by Cory Doctorow for the Boing Boing blog



The police in Durham, England bought a license to the "Mosiac" dataset from the credit bureau Experian, which includes data on 50,000,000 Britons, in order to train a machine learning system called HART ("Harm Assessment Risk Tool") that tries to predict whether someone will reoffend.

The Mosiac dataset attempts to group people based on their demographic characteristics, creating marketing categories with names like 'Disconnected Youth,' 'Asian Heritage' and 'Dependent Greys.' People are sorted into these categories based on a suite of criteria that includes their first names (people named "Chelsea" and "Liam" are likely to be classed as "Disconnected Youth"), their exam marks, the size of their gardens, messages they've posted to pregnancy advice websites, and other criteria.

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