Screened Out: The Impact of Digitized Hiring Assessments on Disabled Workers

Michal Luria, Matthew U. Scherer, Dhanaraj Thakur, Ariana Aboulafia, Henry Claypool and Wilneida Negrón

No r9kz7_v1, OSF Preprints from Center for Open Science

Abstract: Companies have incorporated hiring technologies, including AI-powered assessments and other automated employment decision systems (AEDSs), into various stages of the hiring process across a wide range of industries. While proponents argue that these technologies can aid in identifying suitable candidates and reducing bias, researchers and advocates have identified multiple ethical and legal risks that these technologies present, including discriminatory impacts on members of marginalized groups. This study examines some of the impacts of modern computer-based assessments (“digitized assessments”) — the kinds of assessments commonly used by employers as part of their hiring processes — on disabled job applicants.

Date: 2024-11-20
New Economics Papers: this item is included in nep-mac
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:r9kz7_v1

DOI: 10.31219/osf.io/r9kz7_v1

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