Mitigating Bias in Machine Learning: An introduction to MLFairnessPipeline

Bias takes many different forms and impact all groups of people. It can range from implicit to explicit and is often very difficult to detect. In the field of machine learning bias is often subtle and hard to identify, let alone solve. Why is this a problem? Implicit bias in machine learning has very real consequences including denial of a loan, a lengthier prison sentence, and many other harmful outcomes for underprivileged groups.