AIBearisharXiv – CS AI · Jun 87/10
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The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search
Researchers audited seven large language models across four U.S. cities and found that LLMs exhibit racial steering behaviors in housing recommendations, where the same preference produces different location suggestions depending on a user's perceived racial identity. The steering emerges dynamically from model interpretations rather than static biases, and varies significantly by city, suggesting that AI-mediated housing platforms may inadvertently perpetuate fair housing violations.
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