Fairness Indicators: Scalable Infrastructure for Fair ML Systems

2 · Google AI Research · Dec. 11, 2019, 7:19 p.m.
Summary
Posted by Catherina Xu and Tulsee Doshi, Product Managers, Google Research While industry and academia continue to explore the benefits of using machine learning (ML) to make better products and tackle important problems, algorithms and the datasets on which they are trained also have the ability to reflect or reinforce unfair biases. For example, consistently flagging non-toxic text comments from certain groups as “spam” or “high toxicity” in a moderation system leads to exclusion of those grou...