NFHTA Forum | Mining the Data: Algorithmic Bias in Housing Related Transactions
January 19, 2022 | 2:00 PM - 4:00 PM EST
Algorithmic-based data systems are increasingly relied on to screen potential rental applicants, underwrite home mortgage loans, insure residential properties, and for other housing-related purposes. Data sets and algorithms that are unrepresentative, insufficient, and biased perpetuate discriminatory outcomes. These outcomes include denial of housing opportunity, unfair terms and pricing, and continued housing segregation. Understanding how technological bias manifests and affects persons in protected classes is necessary for enforcing fair housing laws effectively to counteract emerging tools that can perpetuate discrimination.
The National Fair Housing Training Academy (NFHTA) and the National Fair Housing Alliance (NFHA) hosted a public forum that examined bias in data and technology and solutions for eliminating injustice in algorithmic-based systems. Over 575 fair housing partners joined us in this critical conversation.
- Welcome from moderator, Cashauna Hill, Executive Director at the Louisiana Fair Housing Action Center
- Remarks by Demetria McCain, Principal Deputy Assistant Secretary, Office of Fair Housing and Equal Opportunity, HUD
- Remarks by Jacy Gaige, Director, Compliance Disability Right Division, Office of Fair Housing and Equal Opportunity, HUD
- Introduction of panelists:
- Kareem Saleh, Founder and CEO, FairPlay
- Michael Akinwumi, Chief Tech Equity Officer, National Fair Housing Alliance
- Sacha Markano-Stark, Attorney, Relman Colfax PLLC
- The nuts and bolts of artificial intelligence and machine learning (AI/ML)
- Data and tech terminology
- Use of data and technology in housing and related markets
- Third-party technology companies and services used in housing-related transactions
- Solutions to mitigate bias in technology
- Fair housing laws applicable to data/tech bias; other laws to consider
- Key cases challenging tech bias in housing or relevant fields
A video of the forum has been posted on this page, along with a transcript of the conversation and a robust resources list for your continued reference.
- Comprehend the basics of artificial intelligence and machine learning (AI/ML)
- Increase understanding of how data is used in the rental, sales, and lending housing sectors
- Know more about third party technology companies and services used by the housing industry (rental, sales, lending)
- Ascertain solutions for eliminating bias in data and technology
- Describe the applicable sections of the Fair Housing Act and Regulations to other applicable laws
- Recognize features of key cases challenging tech bias in housing or that relate to housing transactions
This forum was targeted to Fair Housing Initiatives Program (FHIP) organizations, Fair Housing Assistance Program (FHAP) agencies, HUD staff, legal services providers, housing providers, and other interested fair housing partners.
Director, Compliance Disability Rights Division
Office of Fair Housing and Equal Opportunity, HUD
Louisiana Fair Housing Action Center
Chief Tech Equity Officer
National Fair Housing Alliance
Relman Colfax PLLC
About the Forums
Forums are online conversations designed to allow multi-directional interactions between HUD and its FHIP and FHAP partners around emerging fair housing issues regarding processing complaints, conducting investigations, and managing agencies. Topics will evolve based on partner needs and interests.
Disclaimer: The National Fair Housing Forum webinar series provides training by and to HUD partners, including entities and persons participating in HUD's FHAP Program and FHIP Program. The series offers multidirectional idea sharing in real-time. The views offered by speakers and participants do not necessarily reflect HUD's views. Similarly, unless otherwise noted, documents provided as part of the webinar were created and maintained by other public and private organizations and may not reflect HUD's official position. HUD-produced guidance documents, except when based on statutory or regulatory authority or law, do not have the force and effect of law and are not meant to bind the public in any way. Such guidance documents are intended only to provide clarity to the public regarding existing requirements under the law or HUD policies. The information is not intended to provide legal advice to any individual or entity. Please refer to relevant laws and regulations and/or your own legal advisor before taking any action based on information appearing on this site or any site to which it may be linked. Some materials have been translated into languages other than English; slight variations may have resulted from the translation.
Tags: Fair Housing NFHTA