Quota-based debiasing can decrease representation of the most under-represented groups.

ABSTRACT: Many important decisions in societies such as school admissions, hiring or elections are based on the selection of top-ranking individuals from a larger pool of candidates. This process is often subject to biases, which typically manifest as an under-representation of certain groups among the selected or accepted individuals. The most common approach to this issue is debiasing, for example, via the introduction of quotas that ensure a proportional representation of groups with respect to a certain, often binary attribute. This, however, has the potential to induce changes in representation with respect to other attributes. For the case of two correlated binary attributes, we show that quota-based debiasing based on a single attribute can worsen the representation of the most under-represen

SUBMITTER: Smirnov I 

PROVIDER: S-EPMC8456145 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature