Designing algorithms is easy to do badly—just look at Amazon. The American retail giant failed spectacularly this year when its AI introduced bias against female job applicants. This happens when a machine inadvertently learns to mechanise bias already existent in employee data, explains British entrepreneur Kate Glazebrook. “It is easy to come up with something which appears to deliver the outcome you're looking for but has phenomenally bad unintended consequences,” she says.
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