7 Types of Bias in Machine Learning

Author: N/A

Publisher: Telus International 

Publication Year: 2021

Summary: The following article discusses how ensuring a diverse team is important, but you can “enlist the help of someone with the domain expertise to review your collected and/or annotated data. Someone from outside of your team may see biases that your team has overlooked.” Bias testing should become part of the development cycle and high-quality data labeling adds additional support.