The machine learning software that human resources managers use to analyze employment-related data points for recommendations of who to interview, hire, and promote, is likely dealing with a more daunting task: helping decide who gets cut, according to human resources analysts and workforce experts.
A January survey of 300 human resources leaders at U.S. companies revealed that 98 percent of them say software and algorithms will help them make layoff decisions this year. And as companies lay off large swaths of people — with cuts creeping into the five digits — it's hard for humans to execute alone.
Big firms often use software to find the "right person" for the "right project," according to Joseph Fuller, a professor at Harvard Business School. These same tools can help in layoffs. "They suddenly are just being used differently," Fuller says.
From The Washington Post
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