Streamlining Fair Housing Complaint Intake

{"abilities":[],"action":"stack","className":"","columns":3,"controls":[],"exclude":[],"include":[{"custom.menu":"header-menu"}],"maximum":6,"property":"header","orders":["date","title","menu_order","post_type","post__in"]}

{"abilities":[],"action":"stack","className":"","columns":3,"controls":[],"exclude":[],"include":[{"custom.menu":"header-menu"}],"maximum":6,"property":"mobile","orders":["date","title","menu_order","post_type","post__in"]}

Streamlining Fair Housing Complaint Intake Using Generative AI Technology

By Sumant Dhall, Luis Gomez, George Mathew, Heather Morelli, and Raquel Romano

How can the State of Georgia’s Commission on Equal Opportunity improve the intake and investigations capacity of its Fair Housing Division? This policy brief proposes expediting the Fair Housing complaint intake process using artificial intelligence tools.

This brief was completed as part of a project for the 2024 Tech Executive Leadership Initiative (TELI), hosted in conjunction with the Tech Talent Project.

See the Project