Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Models Learn Bias from Employee Performance Reviews
In this episode of AI Ethics with Fexingo, Lucas and Luna dive into a surprising source of algorithmic bias: employee performance reviews. They explore how language patterns in reviews — from gender-coded adjectives to recency bias — can teach AI models to replicate and amplify human prejudices. The hosts walk through a real-world example from a Fortune 500 tech company, where a performance-review-trained AI systematically rated women lower on leadership potential. They also discuss the feedback loop problem: when models are trained on biased reviews and then used to generate new reviews, the…
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