FinRegLab Events

Assessing Federated Machine Learning’s Potential for Transforming KYC/AML

FinRegLab proudly presented a proposal for research on the use of federated machine learning in BSA/AML to the Central Bank of the Future Conference, which was hosted by the Federal Reserve Bank of San Francisco and the University of Michigan’s Center on Finance, Law & Policy. The 2020 edition of this conference explored the changing role of central banks and their potential to foster more inclusive economies in the United States and around the world. We invite you to read our proposal and watch a panel discussion about the proposal featuring Dr. Gary M. Shiffman, CEO, Giant Oak, Inc., and The Honorable Juan C. Zarate, Chairman & Co-Founder, The Financial Integrity Network.


Related Publications

  • FinRegLab Deputy Director Kelly Cochran joins RegFi cohosts Jerry Buckley and Caroline Stapleton for a conversation about how machine learning – including generative artificial intelligence – is used by consumer lenders and the evolving regulatory response. Kelly begins with a helpful distinction between the technologies commonly included under the broad “AI” moniker, noting that many…

  • “Melissa discusses her organization’s work in evaluating the explainability of complex machine learning algorithms in credit underwriting, model governance and adverse action notices. The conversation covers the CFPB’s recent guidance on credit denial by lenders using artificial intelligence as well as the role explainability plays in promoting fairness and inclusion in lending, methods and tools…

    LEARN MORE: Consumer AI Underwriting and Explainability with Melissa Koide
  • Consumer Reports released a video series exploring biases in machine learning algorithms and data sets and the resulting unfair practices faced by communities of color. The series is designed to educate consumers on the risks hidden in seemingly “neutral” technologies. FinRegLab CEO Melissa Koide is featured in the Mortgage Lending episode of the series.

    LEARN MORE: Consumer Reports Launches Video Series in Partnership with Kapor Foundation Highlighting Racial Bias in Algorithms
  • “Credit underwriting with cash-flow data involves using financial data insights from a bank account or other types of transaction accounts to evaluate consumers and small businesses for credit,”

    LEARN MORE: The Credit Scoring System has its Downsides — Here’s What a New Credit Scoring and Reporting System Could Look Like
  • “Some fintechs think including more data and analyzing it with more advanced algorithms could solve the problem. Others say it’s time to build whole new systems.”

    LEARN MORE: Tackle the ‘credit invisibles’ to help close the racial wealth gap

About FinregLab

FinRegLab is an independent, nonprofit organization that conducts research and experiments with new technologies and data to drive the financial sector toward a responsible and inclusive marketplace. The organization also facilitates discourse across the financial ecosystem to inform public policy and market practices. To receive periodic updates on the latest research, subscribe to FRL’s newsletter and visit Follow FinRegLab on LinkedIn and Twitter (X). | 1701 K Street Northwest, Suite 1150, Washington, DC 20006