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Abstract. The hiring problem is a simple model for on-line decision-making under uncertainty, recently introduced in the literature.
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Sep 12, 2024 · Studies show that 71% of U.S. candidates oppose AI in final hiring decisions, and 41% oppose its use in reviewing job applications. Hiring ...
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Proponents of algorithmic hiring tend to focus on its ability to save human hours, as well as the possibility of using it to work on reducing bias in hiring.
Here we explore another level of discreet but pervasive hiring algorithms: those parsing through applicant data to accelerate the interview process, bringing ...
Oct 31, 2023 · Hiring discrimination has long impacted people in marginalized groups, but now discrimination can happen via algorithm without direct human involvement at all.
Sep 27, 2022 · Algorithmic hiring systems, whether semi or fully automated, play a part in determining individual access to important life opportunities.
Jun 22, 2020 · We interview one person everyday who has a quality characteristic, x, from 0 to 1(distributed uniformly). We interview for n days. If on the ith ...
May 30, 2023 · Ajunwa argues that hiring algorithms may violate antidiscrimination laws and run afoul of equal opportunity principles.
Mar 11, 2024 · In this compelling four-part series, I'll explore the evolving relationship between job applications and the advanced technologies revolutionizing them.
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Mar 1, 2022 · Many tens of millions of people are being barred from consideration for employment by résumé screening algorithms that throw out applicants who do not meet an ...