FinRegLab’s forthcoming research will help to inform the extent to which current laws and regulations are able to be satisfied in light of the emergence of more complex underwriting models, how well tools to develop and monitor those models perform in identifying effective ways to pursue greater inclusion and fairness, and considerations for policy and market developments that can support the safe, inclusive, and nondiscriminatory adoption of machine learning.
Testimony & Comment Letters
FinRegLab’s Testimony to the Housing Financial Services Committee’s AI Task Force
FinRegLab CEO Melissa Koide testified in the Task Force’s hearing on “Equitable Algorithms: How Human-Centered AI Can Address Systemic Racism and Racial Justice in Housing and Financial Services.”
We discuss fairness and explainability with Jay Budzik – Chief Technology Officer of Zest AI.
Podcasts
Stratyfy – Laura Kornhauser, CEO
We discuss the need to combine insights from data scientists and from credit risk and compliance managers when vetting ML models with Laura Kornhauser, cofounder and CEO of Stratyfy.
Podcasts
Relational AI – Molham Aref, CEO
We discuss causal inference in machine learning with Molham Aref – CEO of Relational.AI.
Podcasts
H2O.ai – Sri Satish Ambati, CEO
We discuss managing risks of bias in historical data when using ML models with Sri Ambati, cofounder and CEO of H2O.ai.
Podcasts
Fiddler Labs – Krishna Gade, CEO
We discuss the evolution of risk monitoring and machine learning with Krishna Gade, founder and CEO of Fiddler Labs.
We discuss the evolution of anti-discrimination oversight with leaders of BLDS, LLC, which has since created Solas AI.
FinRegLab is working with researchers from Stanford Graduate School of Business to launch a ground-breaking evaluation of emerging market practices to improve the transparency and fairness of machine learning underwriting models in consumer credit.
FinRegLab in the News
Op-Ed: Data Needs to be Wider-Sourced and More Inclusive
www.paymentssource.com
America’s credit system is under serious pressure as it faces the most sudden and severe downturn since the Great Depression. Our CEO Melissa Koide and former President and CEO of FICO Larry Rosenberger released an op-ed titled “Data needs to be wider-sourced and more inclusive” discussing using more financial data for lending, enhancing public policy guidance, and financial exclusion and the COVID-19 effect.