Gender Bias in Hiring2024n = 3,000,000
LLMs preferred male names 52% vs 11% female (n>3M)
The same LLM retrieval study found male names preferred 52% of the time, vs 11% for female names, across 3M+ resume-job comparisons.
Primary source
Wilson & Caliskan, AIES 2024
https://www.washington.edu/news/2024/10/31/ai-bias-resume-screening-race-gender/Published 2024 — sample n = 3,000,000 — compiled by JobCannon Research.
Why this stat matters
This figure belongs to the gender bias in hiringvertical of JobCannon's ongoing review of hiring, AI, and career-outcome research. We track it because it is one of the few primary-source estimates with a published sample, methodology, or legal record. Cite the original source first; this page exists to make the figure easy to find and link to.
Related stats
- LLMs over-favoured female names by 1-3pp in scoring (n~361K)Armstrong, Liu, Tessler & Caliskan, PNAS Nexus 4(3) — 2025
- Amazon scrapped AI recruiter that penalised 'women's' (2018)Reuters, Oct 2018 — 2018
- Blind auditions: +50pp female advance rate in symphony orchestras (Goldin & Rouse, AER 2000)Goldin & Rouse, American Economic Review 90(4) — 2000
- Child earnings penalty: 20-30%+ for mothers, near-zero for fathers (NBER WP 25545)Kleven, Landais & Sogaard, NBER WP 25545 — 2019
Find your career fit
JobCannon assessments map your strengths to careers using primary-source research like this one. Free, no signup required.
Take the RIASEC Test