The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search
A new research paper investigates how large language models (LLMs) used in housing search platforms can exhibit racial steering. The study found that steering is not a fixed attribute of the model but emerges from the interaction between user identity, expressed preferences, and the model's internalized understanding of urban spaces. This behavior can differ based on the user's race and the specific city, highlighting the need for domain expertise to ensure fair housing practices when adopting AI tools. AI
IMPACT Reveals potential for AI to perpetuate housing discrimination, necessitating careful oversight and domain expertise in AI deployment.