"The biggest source of bias in hiring is still humans. The same research that fuels concerns about algorithmic bias also shows that AI is up to 39% fairer for female candidates compared to human evaluators, and 45% fairer for racial minorities."
"Over 99.9% of employment discrimination claims in recent years weren't about AI bias at all, but about human bias. None of this means AI is always bias-free. It isn't, but neither are humans."
"The most productive question isn't 'is AI biased?' but rather 'how can AI and humans work together to make decisions based on skills rather than criteria that are inherently fraught with bias?'"
AI hiring tools are often perceived as more biased than human recruiters, but research indicates that humans are the primary source of bias. AI can be significantly fairer for female candidates and racial minorities. The focus should shift from questioning AI's bias to exploring how AI and humans can collaborate to enhance decision-making based on skills. Current hiring processes that rely on quick resume reviews perpetuate bias rather than address it effectively.
Read at Fast Company
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