Latest Publications

This report surveys the options that are available to consumers who are struggling with unsecured debt, including available research on the options’ scope and outcomes. It provides an overview of market and policy challenges as stakeholders ponder strategies to help consumers recover more quickly from personal and broader economic crises such as COVID-19.
This executive summary highlights key themes from our longer market and policy context report, which surveys the options available to consumers who are struggling with unsecured debt and market and policy challenges to helping consumers recover more quickly from financial shocks.
This fourth edition of our FAQs focuses on emerging techniques to explain complex models and builds on prior FAQs that covered the use of AI in financial services and the importance of model transparency and explainability in the context of machine learning credit underwriting models.
This third edition of our FAQs considers the technological, market, and policy implications of using federated machine learning to improve risk identification across anti-financial crime disciplines, including in customer onboarding where it may facilitate more accurate and inclusive customer due diligence.
FinRegLab partnered with the Financial Health Network, Flourish Ventures, and Mitchell Sandler to provide a working paper summarizing the current U.S. federal legal framework governing consumer financial data with the goal of laying a foundation for future policy analyses and discussions.
This update catalogues recent initiatives involving the use of non-traditional credit data, including cash-flow information. It considers how dramatic shifts in economic conditions due to the Covid-19 pandemic and mass movements for racial justice have increased incentives to adopt new data sources and models, but also created new market and policy challenges.