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Artificial Intelligence Hiring Technology and Disability Discrimination

dc.contributor.authorKatzman, Jared
dc.date.accessioned2023-12-14T18:38:22Z
dc.date.available2023-12-14T18:38:22Z
dc.date.issued2023-10
dc.identifier.urihttps://hdl.handle.net/2027.42/191731en
dc.description.abstractEmployers are increasingly using artificial intelligence (AI) technologies to make hiring decisions. These data driven tools, also referred to as predictive/algorithmic hiring or machine learning (ML), are used across the hiring pipeline to filter resumes, categorize applicants according to personality traits, and evaluate video interview performance. Since these software tools are trained on historical data, they will likely reflect the industry’s systemic biases, and there is a huge risk that employers will perpetuate discrimination against People with Disabilities by using these new technologies.en_US
dc.language.isoen_USen_US
dc.subjectartificial intelligence, AI, hiring, people with disabilitiesen_US
dc.titleArtificial Intelligence Hiring Technology and Disability Discriminationen_US
dc.typeTechnical Reporten_US
dc.subject.hlbtoplevelGovernment, Politics and Law
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/191731/1/STPP-AI-Hiring_policy-maker-page-Final9823.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/21911
dc.description.depositorSELFen_US
dc.working.doi10.7302/21911en_US
dc.owningcollnameScience, Technology, and Public Policy (STPP) program


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