The Opportunities and Perils of Artificial Intelligence in Housing (AC21)
Automated analysis and artificial intelligence can unlock extraordinary insights and enable innovation — but they also can lead inadvertently to racially biased conclusions. Experts discuss how to identify and avoid bias in automated valuation models and offer advice and tools to improve the data you gather and algorithms you use.
DISCUSSION LEADER
Dhathri Chunduru, Director of Research and Planning | Tennessee Housing Development Agency
PARTICIPANTS
Eric Ewing, Managing Director, Artificial Intelligence and Data Center of Excellence | U.S. General Services Administration
Michael Neal, Senior Research Associate | Urban Institute
Brian Stucky, Team Lead, Responsible AI/Rocket Technology Data Intelligence | Quicken/Rocket Mortgage
