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A city-building simulator called Discretionary Review puts players in the role of navigating San Francisco's housing approval process, where the city would prefer you didn't build anything.
Members of the Department of Government Efficiency (DOGE) at HUD used AI to inform housing policy decisions, but the agency is denying FOIA requests for details, raising transparency concerns.
This paper conducts a behavioral audit of seven open-weight and closed-source LLMs across four U.S. cities, finding that racial steering in housing recommendations is an emergent behavior of the model's interpretive license, varying by user identity and city context.
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