Just as humans have unconscious bias, machines have uncoded bias. Machines are incapable of seeing things that aren’t measured.
For example, it is entirely possible to increase the number of job offers extended to female candidates without ever once offering a job to a female with a Body Mass Index over 25. Small hints of social class unmeasured in the core data can prompt a skew within a given category.
So, while it is true that a machine can do a better job at relentlessly sticking to a narrow script, it cannot see or understand things that are not in the data. Unlike people and their unconscious biases, machines can only change their approach with new measurement and new coding. In other words, while machines may be able to address small components of unconscious bias, they cannot address all (or even most) of it.
