Author: N/A
Publisher: Linear Digressions
Publication Year: 2020
Summary: The following podcast episode discusses how regardless of whether race or ethnicity is included in your algorithm, correlated variables can still instill biases. The variables selected may lead to more accurate models, but there are ethical scenarios in which you should not be using them. Biases in society are reflected in data: your algorithm results display biases, not necessarily fair representations of human beings.