Entries for 'Credit Risk'
December 23, 2022
The IIF and EY 2022 Survey Report on Machine Learning Uses in Credit Risk and AML Applications details the results of our comprehensive survey on the machine learning development and implementation process within the global financial services industry.
December 4, 2020
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.
October 23, 2020
The IIF Regulatory Affairs Department is pleased to share a comprehensive summary of the key regulatory and policy discussions that took place during the IIF’s 2020 Annual Membership Meeting.
September 25, 2019
This paper articulates how policymakers and supervisors can assist in ensuring safe machine learning innovation, harnessing the benefits of these new technologies while minimizing and mitigating risks.
August 28, 2019
With the IIF Machine Learning in Credit Risk 2nd Edition Report tracking the industry’s progress with these technologies over the past year, leading contributor Paul Edwards (Scotiabank) joins IIF report authors Brad Carr and Natalia Bailey to discuss the survey’s key findings.
August 22, 2019
Following on from the IIF’s 2018 Machine Learning in Credit Risk survey, our 2nd Edition (2019) survey tracks industry progress in the adoption and implementation of these technologies.
May 3, 2019
The IIF is pleased to share our paper on "Bias and Ethical Implications in Machine Learning," the second paper on our three-part Thematic Series on issues related to Machine Learning (ML).