Bias in Machine Learning Examples: Policing, Banking, COVID-19

Author: Lisa Morgan

Publisher: Tech Target

Publication Year: 2020

Summary: The following article discusses how human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights.