AI tools fail to reduce recruitment bias - study

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AI tools fail to reduce recruitment bias - study
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Artificially intelligent analysis of job applications or videos is 'pseudoscience', researchers say.

Artificially intelligent hiring tools do not reduce bias or improve diversity, researchers say in a study.Cambridge University researchers sayThe use of AI is becoming widespread - but its analysis of candidate videos or applications is "pseudoscience".In 2020, the study notes, an international survey of 500 human-resources professionals suggested nearly a quarter were using AI for "talent acquisition, in the form of automation".

But using it to reduce bias is counter-productive and, University of Cambridge's Centre for Gender Studies post-doctoral researcher Kerry Mackereth told BBC News, based on "a myth". "These tools can't be trained to only identify job-related characteristics and strip out gender and race from the hiring process, because the kinds of attributes we think are essential for being a good employee are inherently bound up with gender and race," she said.

Video and image analysis technology had "no scientific basis", co-author Eleanor Drage told the BBC News, dismissing it as "modern phrenology", the false theory skull shape could reveal character and mental faculties. "They say that they can know your personality from looking at your face. The idea is that, like a lie-detector test, AI can see 'through' your face to the real you," she told BBC News.With six computer-science students, the researchers built their own simplified AI recruitment tool, to rate candidates' photographs for the "big five" personality traits:

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