In algorithmic hiring systems, diversity policies are often inscribed as algorithmic fairness constraints. But algorithms rarely work in isolation; almost always, humans make the ultimate hiring decision based on recommendations from the algorithm. To better understand the downstream effects of...

We study the heterogeneous effects of race and gender on hiring outcomes in the context of organizational diversity efforts. Against the backdrop of increasing scrutiny around diversity issues in tech companies and the concomitant growing response of organizational efforts to increase workforce...