Hiring gender bias exacerbated by algorithmic sorting models for CVs, new research finds
A new report has found that women, already disproportionately affected by job losses during the pandemic, face further disadvantage from job hiring algorithms and human bias. The research from the University of Melbourne, commissioned by UniBank, has found that subconscious gender biases greatly influence decisions by human recruiters and are exacerbated in algorithmic sorting models […]