Keywords: COVID-19, Data Confirmation, Data Selection, Human Bias, Machine Learning, Missing Data, Policing
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.
