The problem with algorithms: magnifying misbehaviour
Computers that learn from and repeat human behaviour save time and money, but what happens when they repeat flawed traits or errors thousands of times per second?
This news example gives an example of bias present in an algorithm governing the first round of admissions into a medical university. The data used to define the algorithms output showed bias against both females and people with non-European-looking names.
