housing

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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