Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
AI in Hiring: The Bias That Survives Bias Training
In episode 145 of AI Ethics with Fexingo, Lucas and Luna examine how AI hiring tools, despite extensive bias-mitigation training, still encode subtle biases—especially around socioeconomic background and cultural fit. They dissect a 2025 study that found CV-screening models penalized candidates who listed non-profit work or less-prestigious universities, even after explicit bias-removal steps. The hosts trace the problem to proxy variables: how models infer 'job stability' from zip codes, or 'leadership potential' from names of high schools. They discuss why standard debiasing fails when…
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