This year’s workshop focused on three important topics that are likely to shape the consumer finance industry over the next few years: financial innovation and payments, the current state of consumer credit with particular attention to revolving credit, and the implications of adoption of machine learning and artificial intelligence (ML/AI) innovations in consumer finance.
As in prior years, the workshop gave regulators, industry experts, and the academic community an opportunity to share their knowledge, research, experiences, and views. The workshop included keynote speakers, expert panels, and industry/academic presentations.
Following the workshop, SURF co-organized a joint regulatory roundtable with the Office of the Comptroller of the Currency and the Federal Deposit Insurance Corporation, which was open only to accredited staff from regulatory agencies to lead the exchange of ideas across regulatory bodies.
Watch the Recordings
- Introduction to the workshop
- Keynote address by Silvio Tavares on Consumer Finance
- Keynote address by Hyun Song Shin on Innovations in Payments
- End of day keynote address by Shamina Singh
- Keynote address by Kareem Saleh on Machine Learning
- Access additional recordings.
Read the Summary
- Summary of the Fourth Workshop on Payments, Lending, and Innovations in Consumer Finance by José Canals-Cerdá and Larry Santucci
Download Available Presentations
- Understanding Shifts in Consumer Credit Behavior: What it Means for the Economy in 2023, Silvio Tavares, VantageScore
- Buy Now Pay Later Credit: User Characteristics and Effects on Spending Patterns , Emily Williams, Harvard Business School
- Who Pays for Your Rewards? Redistribution in the Credit Card Market, Andrea Filippo Presbitero, International Monetary Fund
- Do Saving Nudges Cause Borrowing? Evidence from a Mega Study, Paolina Medina, Mays Business School, Texas A&M University
- E-krona, the Riksbank's Journey Toward a Retail Central Bank Digital Currency, Johan Schmalholz, Swedish Riksbank
- Neutrality is a Fallacy, Kareem Saleh, FairPlay AI
- One Threshold Doesn't FIt All: Tailoring Machine Learning Predictions of Consumer Default for Lower-Income Areas, Vitaly Meursault, Federal Reserve Bank of Philadelphia
- Do We Have to Sacrifice Accuracy in Order to Be Fair? Rayid Ghani, Heinz College of Information Systems and Public Policy, Carnegie Mellon University
- Do Deepfakes Discriminate? Auditing a Deepfake Detection System for Systemic Bias, Patrick Hall, Principal Scientist, BNH.AI