Sign up for our awesome New York Tech Events weekly email newsletter.     LOCATION EVENT DETAILS This symposium will explore the use of artificial intelligence (AI), the use of this technology in consumer credit markets & the legal & policy issues surrounding these practices. Please note, this event will be live-streamed. The link will be shared closer to the date of the event. Please register to receive the link. The schedule for the symposium is as follows: 9:30- 9:35 am - Welcome - Dean Leslie (Cardozo) 9:35-9:50 am - Introductory Remarks - Matt Bruckner (Howard) 9:50-11:05 am - Panel 1 - Scoping Credit Discrimination in the Age of AI This panel will examine how the rise of AI in consumer credit markets expands the meaning of discrimination & fairness in lending. Moderator: David Carlson (Cardozo) Panelists: Talia Gillis (Columbia) - Price Discrimination Discrimination Ted Janger (Brooklyn) - Badges of Predation Mike Pierce (Student Borrower Protection Center) - Re-Coding Bias: Exploring the Role of Robust Regulatory Action in Tackling Algorithmic Bias 11:05-11:15 am Break 11:15 am-12:55 pm- Panel 2: Programming Fairness This Panel will examine technical solutions for mitigating discrimination risks in consumer credit markets arising from the use of AI. Moderator: Pamela Foohey (Cardozo) Panelists: Dan Bjrkegren (Brown) - Welfare Credit Scoring Nat Hoopes (Upstart) - Fairness & Inclusion with AI models Melissa Koide (FinReg Lab) - Machine Learning Explainability & Fairness: Insights from Consumer Lending Nizan Packin (Baruch/CUNY) - Decentralized Credit Scores 12:55-1:40 pm - Lunch - Served in the lobby of the Cardozo School of Law 1:40-2:40 Fair Lending & the CFPB Patrice Ficklin, Fair Lending Director, CFPB, & Carol Evans, Deputy Fair Lending Director, CFPB 2:40-2:50 pm - Break 2:50- 4:30 pm - Panel 3: Regulating Fair Lending This panel will explore regulatory responses to the discrimination & fairness risks generated by the increasing use of AI in consumer credit markets. Moderator: Creola Johnson (Ohio State) Panelists: Kathleen Engel (Suffolk) - Can Competition Help Solve the Problem of Algorithmic Bias? Cassandra Havard (South Carolina) - Digital Footprints Colin Hector (FTC) - Machine Learning, Dark Patterns, & Discriminatory Pricing Vijay Raghavan (Brooklyn) - Benchmarking Discrimination 4:30- 5:00 pm Closing Remarks - Nikita Aggarwal (UCLA)