AI hiring algorithms reject Black, Asian job seekers at higher rates
A study by Stanford researchers reveals that AI hiring algorithms exhibit racial bias, particularly against Black and Asian job seekers. The research analyzed over 4 million job applications and found significant disparities in the selection rates for different racial groups. The findings highlight the need for transparency and independent testing of these algorithms to ensure fair hiring practices.
- ▪AI algorithms used in hiring discriminate more frequently against Black and Asian applicants.
- ▪The study evaluated a dataset from pymetrics, which included over 4 million job applications across various industries.
- ▪26 percent of Black applicants and 15 percent of Asian applicants faced discrimination in the hiring process.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); AI + ML AI hiring algorithms reject Black, Asian job seekers at higher rates Stanford researchers argue need for transparency and independent testing Thomas Claburn Thomas Claburn Senior reporter Published wed 27 May 2026 // 20:39 UTC 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 researchers.The boffins evaluated algorithmic hiring decisions…
Excerpt limited to ~120 words for fair-use compliance. The full article is at theregister.
Discussion
0 commentsMore from theregister
