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Here's why an AI expert says job recruiting sites promote employment discrimination (MSFT, FB)

Here's why an AI expert says job recruiting sites promote employment discrimination (MSFT, FB)
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Data science consultant Cathy O'Neil said discrimination in hiring starts with job advertising sites like LinkedIn, Monster.com, Facebook, and ZipRecruiter.




In an interview with Business Insider, O'Neil said that by focusing on demographic data, algorithms used by job sites often prevent qualified people from ever seeing job openings.






O'Neil said algorithms are biased by definition, so rather than making them "colorblind," companies need to continually assess whether they're disproportionately filtering out candidates from marginalized groups.






That starts by "defining what it means to be qualified, then ignoring other things," O'Neil said.




Visit Business Insider's homepage for more stories.



Data science consultant Cathy O'Neil helps companies audit their algorithms for a living. And when it comes to how algorithms and artificial intelligence can enable bias in the job hiring process, she said the biggest issue isn't even with the employers themselves.
A new Illinois law that aims to help job seekers understand how AI tools are used to evaluate them in video interviews recently resurfaced the debate over AI's role in recruiting. But O'Neil believes the law tries to tackle bias too late in the process.
"The problem actually lies before the application comes in. The problem lies in the pipeline to match job seekers with jobs," said O'Neil, founder and CEO of O'Neil Risk Consulting & Algorithmic Auditing.
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