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.
P-R Stark
served as FinRegLab’s first Director of Machine Learning Research. In that role, she led the organization’s efforts to develop and execute policy-relevant research on the use of AI in financial services. She is an experienced advisor to financial institutions, helping firms respond to regulatory inquiries and manage adoption of new technologies, among other things. P-R holds an A.B. in Classics from Princeton University, an M.A. (Oxon) in Philosophy, Politics, and Economics from the University of Oxford, and a J.D. from Harvard University.