Largest study of AI hiring algorithms to date finds ‘clear racial disparities’ — over 25% of Black applicants tainted by bias

A Stanford-led study of 4 million job applications reveals AI tools used by Fortune 100 companies systematically reject Black and Asian applicants.
Yahoo

How a hiring algorithm is audited can disguise bias, study finds

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Booth School of Business

A Hiring Algorithm That Isn’t Vulnerable to Biased Data

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 ...
Hosted on MSN

Largest study of AI hiring algorithms to date finds 'clear racial disparities' — over 25% of Black applicants tainted by bias

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 ...
HR Dive

How a hiring algorithm is audited can disguise bias, study finds

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 ...