Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Resume Screeners Learn Bias from Job Postings
In this episode, Lucas and Luna explore how AI hiring tools don't just inherit bias from the resumes they screen—they learn it from the job postings themselves. They walk through a 2025 study from the University of Chicago that analyzed 10,000 job descriptions on LinkedIn and found that postings using masculine-coded language (like 'aggressive,' 'dominant,' or 'ninja') caused AI models to rank male candidates higher even when qualifications were identical. The hosts discuss how this 'posting bias' creates a feedback loop: biased postings attract biased applicants, which then reinforce the…
The skinny
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