There is growing awareness and concern about the role of automation in hiring, and the potential for these tools to reinforce historic inequalities in the labor market. I will present the results of an algorithm audit of the resume search engines offered by several of the largest online hiring platforms, to understand the relationship between a candidate’s gender and their rank in search results. We audited these platform with respect to individual and group fairness, as well as indirect and direct discrimination. I conclude with a brief discussion of the social and policy implications of our study.
Explore Similar Events
Loading Similar Events...