Candidate Experience Insights

If there's a single story that crystallized the problem of algorithmic bias in recruiting, it's Amazon's. In 2014, Amazon's engineering team built an AI tool designed to automate résumé screening — the kind of thing that, in theory, would cut through human subjectivity and surface the best candidates on merit alone. What it actually did was spend years studying a decade's worth of historical hiring data and conclude that the most successful candidates at Amazon were, overwhel