Women would land more roles in tech if employers used artificial intelligence in the recruitment process, new research has found.
In what is believed to be the first academic study of its kind, researchers at Monash University and the University of Gothenburg found that human recruiters hiring for a web designer role scored women “substantially lower” than men when they knew their gender, but equal to men when the gender was hidden.
At the same time, the research discovered that informing candidates that their assessment would be reviewed by a computer instead of a human increased the number of females completing the application by about 30 percentage points relative to males, as women believed they would be judged more fairly by AI than a human.
For the first experiment, the researchers posted an ad for a web designer job and invited more than 700 interested jobseekers to complete an application. Some applicants were told their application would be assessed by AI and others were told it would be assessed by a human. The researchers then measured application completion rates to determine whether informing applicants they would be reviewed by a computer would attract or deter women from completing the application.
“In 2022, women made up just 27 per cent of the workforce across STEM, which has dropped from 2020,” Ms Hyman said. With Sapia.ai’s tool, candidates answer five questions in their own time and are not required to disclose their gender, age or race. “It’s a science that understands people through language, and it’s very similar to what people are experiencing with the power of GPT,” Ms Hyman said.Medibank’s senior executive of talent acquisition, Andrew Retschko, said the insurer used Sapia.ai as part of its recruitment process for corporate roles and for addressingwhen recruiting people internally. Proximity bias refers to the tendency for leaders to treat people who are physically closer to them more favourably.
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