HireVue Assessments and Preventing Algorithmic Bias

Author: Loren Larson

Publisher: HireVue

Publication Year: 2018

Summary: The following article discusses how HireVue is committed to good science that creates a level playing field for all candidates. Without deliberately working to reduce bias that may reside in an algorithm’s training data or its data scientist creators, algorithms are absolutely at risk of inheriting the biases of humans. If Hirevue finds a feature that indirectly discriminates against unrepresented groups, they “shut off” that feature. This article talks about several other misconceptions people have with ethics and bias in video interviews.