New Developments in Fair Lending and Modeling: AI Models and BISG
Join Ballard Spahr attorney Chris Willis and Teddy Flo, General Counsel of Zest AI, as they discuss cutting-edge fair lending issues related to AI/machine learning models, including regulatory interest and new technologies that may offer a way to objectively prove the fairness of such models. They will also go over a newly-developed potential alternative to the Bayesian Improved Surname Geocoding (BISG) method for proxying for race and ethnicity in fair lending reviews. Our discussion will include:
- Update on fair lending enforcement activity and regulatory interest in AI/machine learning credit models
- Introduction to adversarial debiasing as a technique to establish fairness of models
- Challenges with BISG
- A potential BISG replacement
Christopher J. Willis, Practice Leader, Consumer Financial Services Litigation
Teddy Flo, General Counsel, Zest AI
This program is open to Ballard Spahr clients and prospective clients. There is no cost to attend. This program is not eligible for continuing education credits.
Please register at least two days before the webinar. Login details will be sent to all approved registrants. For more information, contact firstname.lastname@example.org.