Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant ...

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 ...

AI algorithms exhibit racial bias in job candidate screening, and they discriminate more frequently against those applying for multiple jobs at different companies, according to Stanford-led ...

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

Fewer than half of employers see AI and big data handling as a core skill today, but that's soon about to change — according to the Future of Jobs Report. Skills are shifting as jobs evolve. While new ...

AI hiring algorithms are riddled with harmful biases. This is a reflection of the real-life hiring data they were trained on, which is heavily biased. An estimated 70 percent of companies and 99 ...

Imagine being the most qualified person for a job and not getting a call-back or not being selected for an interview. As recruitment decisions shift from being based on assessing applicants’ ...