General
Job recruitment algorithms can amplify unconscious bias favouring men, new research finds

Algorithms used to help employers select job applicants could be amplifying the gender bias they should prevent, a new study from the University of Melbourne suggests.
Key points:
- Algorithms are good at matching applicants with keywords but can easily amplify gender bias
- Both the male and female recruiters used for the experiment ranked male CVs higher than women’s
- The study author says not discriminating against women for things such as parental leave must be “coded in” to an algorithm
Big recruitment websites such as SEEK commonly use artificial intelligence to help employers hire the right candidates, but researchers have shown these algorithms could be favouring men over women in the job market.
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