How AI Exposed 75 Years of Housing Discrimination Hidden in 5.2 Million Property Records

Author(s): MKWriteshere

Originally published on Towards AI.

A technical deep dive into Stanford’s fine-tuned language model that saved 86,500 hours of manual work and revealed shocking patterns of racial exclusion

Imagine discovering that one in four properties in your county was once subject to racially discriminatory restrictions.

The article explores how AI is being leveraged to uncover and address 75 years of racial discrimination embedded in housing records in Santa Clara County. Through advanced language models and groundbreaking research, the project reveals the historical patterns of racial exclusion, showcasing the inefficiencies of manual reviews compared to the AI’s efficiency in processing millions of records. As it highlights both the software’s technical prowess and its significant societal implications, the study illustrates how AI can effectively facilitate legal reforms and reshape our understanding of historical injustices in housing policies.

Read the full blog for free on Medium.

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Published via Towards AI