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AI recruitment tools exhibit racial bias and systemic exclusion; 26% of hires are Black, 15% are Asian.

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ME News Report, June 24 (UTC+8), a large-scale field study covering 3.4 million people, 4 million applications, 150 employers, and 1,700 positions found significant racial bias in AI recruiting screening tools: 26% of Black applicants and 15% of Asian applicants experienced systemic exclusion by the algorithm based on their ethnicity; if AI operated according to the highest recommendation rate group (usually White), an additional 40k applications would advance to the next round. Most employers rely on the same third-party vendor’s algorithm, creating an "algorithm monoculture," resulting in 10% of applicants who submitted 4 applications being rejected by all positions. In comparison, recruitment data from the same period without AI (83k applications, 108 Fortune 500 companies) showed no such pattern. The study calls for independent regulation of algorithmic recruiting. 🔗 Read the original article:
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