29/11/2018
“With machine learning systems now being used to determine everything from stock prices to medical diagnoses, it's never been more important to look at how they arrive at decisions.”
Researchers have demonstrated an approach for identifying and quantifying the ways that a specific algorithm is biased, and actually showing how changing the data collection methods can reduce the bias while still preserving predictive accuracy.