https://docs.iza.org/dp18517.pdf
#AI involvement deters applicants, particularly women, across both pure algorithmic and hybrid human-in-the-loop regimes. This effect is driven by non-competitive candidates; non-competitive women apply least despite receiving the strongest objective evaluations under AI assessment. Competitive men exhibit #overconfidence -driven selection, while competitive women remain resilient and well-calibrated under AI assessment. Notably, randomizing candidate #gender disclosure does not significantly impact application behavior in any evaluation category.
#hiring #llms #algorithmaversion #LaborMarkets #jobtech #ExperimentalEcon




