Minimizing discrimination in machine learning

December 23, 2016

Topic

Statistics  /  ,

From Google Research, a look at how discrimination in machine learning can lead to poor results and what might be done to combat:

Here we discuss “threshold classifiers,” a part of some machine learning systems that is critical to issues of discrimination. A threshold classifier essentially makes a yes/no decision, putting things in one category or another. We look at how these classifiers work, ways they can potentially be unfair, and how you might turn an unfair classifier into a fairer one.