All automated hiring software is prone to bias by default — from technologyreview.com
Excerpt:
A new report out from nonprofit Upturn analyzed some of the most prominent hiring algorithms on the market and found that by default, such algorithms are prone to bias.
The hiring steps: Algorithms have been made to automate four primary stages of the hiring process: sourcing, screening, interviewing, and selection. The analysis found that while predictive tools were rarely deployed to make that final choice on who to hire, they were commonly used throughout these stages to reject people.
“Because there are so many different points in that process where biases can emerge, employers should definitely proceed with caution,” says Bogen. “They should be transparent about what predictive tools they are using and take whatever steps they can to proactively detect and address biases that arise—and if they can’t confidently do that, they should pull the plug.”