Trusted Fair Lending
SolasAI, and its expert consultants, are under contract to aid the CFPB in its enforcement efforts and regularly interact with other regulatory bodies, government oversight agencies and Members of Congress through panels, interviews and contract work. This gives SolasAI and its consultants firsthand experience in what regulators and legislators are acting on and thinking about regarding regulatory activities. This insight is then incorporated in the SolasAI software. We help ensure that you can prove you have made reasonable efforts to minimize disparity and bias in your decision informing/making algorithms.
Get Started on Your Responsible AI journey with our Fairness Compliance Checklist.
Machine Learning and Fair Lending: Risks & Opportunities
How Can Accepted Fair Lending Frameworks Help You Create a Machine Learning Governance Foundation?
Hall Patrick, Cox Benjamin, Dickerson Steven, Ravi Kannan Arjun, Kulkarni Raghu, Schmidt Nicholas. June 2021. “A United States Fair Lending Perspective on Machine Learning.” Frontiers in Artificial Intelligence Volume
The Evolution of Anti-Discrimination Oversight: FinRegLab, April 28, 2021. Podcast with Nicholas Schmidt, Bernie Siskin, and Bryce Stephens on the history of discrimination testing in algorithms and what can be done to minimize discrimination in ML and AI.
“FinRegLab on the State of Responsible ML in Credit Underwriting: The View from SolasAI”. SolasAi, September 29, 2021.
Dietrich, Jason and Schneider, Karl and Stocks, Chris, Small Business Lending and the Great Recession (January 16, 2020). Consumer Financial Protection Bureau Office of Research Reports Series No. 20-1
Schmidt, Nicholas, Siskin, Bernard, and Mansur, Syeed. “How Data Scientists Help Regulators and Banks Ensure Fairness when Implementing Machine Learning and Artificial Intelligence Models.”Conference on Fairness, Accountability, and Transparency. New York, NY. February 23 - 24, 2018.
Schmidt, Nicholas, Siskin, Bernard and Stephens, Bryce. “Algorithmic Credit Scoring and FICO’s Role in Developing Accurate, Unbiased, and Fair Credit Scoring Models.” Consumer Law Quarterly Report. October, 14, 2021.
Download our Fairness Compliance Checklist.