The IIF’s Machine Learning Governance Detailed Survey Report details the results of our comprehensive survey on the end-to-end governance of the machine learning development and implementation process within the global financial services industry.
66 financial institutions have participated in this survey, and the report, covers six key areas of focus, including foundational aspects, data and inputs to machine learning, governance mechanism, model validation, model implementation, and model monitoring.
This summary report provides an abbreviated public summary of the key themes in the report’s findings, and is a public document. A more detailed report has been prepared on a confidential basis, with distribution limited to the regulatory community and the 66 financial institutions that participated in the study.
The IIF looks forward to continuing to engage with the regulatory community on this topic moving forward.