arXiv Machine Learning By S. Chalavadi, A. Pastor, T. Leitch

STRATA: A Name-and-Geography Race Inference Model for Fair Lending and Housing Equity Applications

Read the original on arXiv Machine Learning →

arXiv:2504. 21259v2 Announce Type: replace-cross Abstract: Accurate imputation of race and ethnicity (R&E) is essential for fair lending compliance under ECOA, HMDA, and the Community Reinvestment Act, where up to 15% of mortgage applications carry missing race data and regulated institutions bear responsibility for identifying disparities on those records.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv AI
Jun 8

The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search

arXiv:2606. 06694v1 Announce Type: cross Abstract: Large language models (LLMs) are rapidly assuming an intermediary role in housing search through the integration of listing platforms within conversational interfaces, mediating access to information, search, and recommendations within urban settings.

By Hana Samad, Trung Lam, Christoph M\"ugge-Durum, Michael Akinwumi