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.
Speakers
Related Publications
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Manufactured homes have been unfairly stigmatized in the past, but there’s no argument that they are a source of high-quality, relatively low-cost housing, especially in rural areas.
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Many years ago when I was in college I worked on a charter fishing boat for a summer. I learned a great deal over those months — how to tie a line and net a fish, how to cut bait and weigh an anchor, the different kinds of fish in the Chesapeake Bay, when they…
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The OpenAI CEO called for a federal testing framework for AI safety OpenAI Chief Executive Sam Altman gave President-elect Donald Trump advice on how to accelerate the artificial-intelligence revolution at the FinRegLab AI Symposium in Washington on Thursday.
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Consumer Financial Protection Bureau Director Rohit Chopra said the shortcomings of the FICO credit-scoring model are becoming unacceptable and urged regulators and lenders to develop a new model based on artificial intelligence to replace it.
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OpenAI Chief Executive Sam Altman gave President-elect Donald Trump advice on how to accelerate the artificial-intelligence revolution at the FinRegLab AI Symposium in Washington on Thursday.
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Proposed Research: Assessing Federated Machine Learning’s Potential for Transforming KYC/AML
FinRegLab presented a research proposal for research on the use of federated machine learning in Bank Secrecy Act/Anti-Money laundering compliance 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… Learn More
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 safe and responsible 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 www.finreglab.org. Follow FinRegLab on LinkedIn.
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