Locked Out by Big Data: How Big Data, Algorithms and Machine Learning May Undermine Housing Justice

Author: Valerie Schneider

Publisher: Columbia Human Rights Law Review

Publication Year: 2020

Summary: The following article is a very granular deep dive into how artificial intelligence (AI) can lead to discrimination in housing and how this relates to Fair Housing Act “disparate impact” jurisprudence. The motivation for the article was a proposed rule from HUD that would have immunized landlords using algorithms from disparate impact fair housing claims. The article describes how algorithms can incorporate information about evictions in an applicants zip code to perpetuate redlining, can incorrectly use past eviction suits to deny applications, and how Facebook allowed landlords to effortlessly engage in discriminatory advertising practices. Finally the article discusses solutions.