A study of 4 million job applications screened by a hiring algorithm found evidence of "clear racial disparities" in applicant outcomes, with 26% of applications submitted by Black applicants and 15% ...
Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...
The most comprehensive independent study of AI-powered hiring algorithms ever conducted has found stark racial disparities embedded in the tools used to screen millions of job applicants, with more ...
Stacey Tara leads People & Ops at Exa (AI search startup in SF). She writes about hiring, ops, culture, and decision frameworks. AI tools have quickly changed how companies hire. They speed up ...
Predictive artificial intelligence (AI) hiring systems (AHSs) are used by employers every day to screen and shortlist job candidates. But while AI hiring systems promise time and cost savings for ...
Despite some progress, gender discrimination in hiring remains a challenge. Women are judged more harshly than men, with a broad assumption of less competence. Only 15 percent of CEOs at Fortune 500 ...
Think an AI algorithms automatically reject resumes? The real reason candidates are going invisible in modern hiring is much worse, and it’s entirely within an employer’s control to fix. Most ...
Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said. The tendency of employers to use ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results