Stanford researchers analyzing hiring AI systems have uncovered a troubling pattern they call algorithmic monoculture. When multiple employers deploy similar AI hiring tools, they don't just repeat the same biases independently — they amplify them across entire industries. According to the research published earlier today, these algorithms can systematically exclude qualified candidates based on race and demographics, even when they're designed with the best intentions. The study examines how AI hiring tools encode and reinforce existing discrimination at scale.

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