FICO Score Research: Explainable AI for Credit Scoring
FICO Scores R&D has empirically investigated potential benefits and risks associated with using some of the latest AI and machine learning approaches for credit scoring.
Gerald Fahner
Dr. Gerald Fahner is Senior Director in FICO's Scores division, where he leads the Advanced Analytic Capabilities Research group. He specializes on innovative methods and algorithms that turn data and domain knowledge into superior insights, predictions, and decisions. Gerald is also responsible for the core algorithms underlying FICO's scorecard development platform. His work on causal modelling won the Best Paper award at the Credit Scoring and Credit Control XI conference, was awarded patents and made it into products. He won a Best Paper award at the Data Analytics 2018 conference for developing practical methods in explainable artificial intelligence and machine learning to boost the effectiveness of FICO’s credit risk score developments. These innovations also led to the development of the FICO® Resilience Index which has been recognized by the 2021 Drexel LeBow Analytics 50 award.
Prior to joining FICO in 1996, Gerald served as a researcher in artificial intelligence, machine learning and robotics at the International Computer Science Institute in Berkeley and he earned his Computer Science doctorate from University of Bonn.
Prior to joining FICO in 1996, Gerald served as a researcher in artificial intelligence, machine learning and robotics at the International Computer Science Institute in Berkeley and he earned his Computer Science doctorate from University of Bonn.
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Explainable AI and the FICO Score
My presentation on “Transparency by Design: An Explainable AI Approach to Credit Risk Scoring” discusses our application of recent machine learning technologies to challenge the US FICO® Score.
FICO Scores, Artificial Intelligence and Machine Learning
How are advances in artificial intelligence and machine learning changing credit risk assessment? That’s a topic I’ll be exploring in three presentations at FICO World 2018.
How New Risk Analytics Stress-Test Individual Consumers
Want to know which consumers will more likely default when they encounter an unpredicted financial stress situation in the future? Traditional risk scores won’t give you the full picture.
Superior Scorecards at Warp Speed: Algorithmic Learning Meets Domain Expertise
By Dr. Gerald Fahner
Today, debates are raging in blogs as to whether Big Data and machine learning render domain expe...
What’s Even Better than Big Data? Designed Big Data!
By Dr. Gerald Fahner
During the dawn of commercialized analytics, in 1958, FICO applied predictive modeling to credit d...
FICO World Preview: Combining Machine Learning and Human Expertise to Engineer Better Predictive Models
By Dr. Gerald Fahner
In the Harvard Business Review article “Good Data Won’t Guarantee Good Decisions,” Shvetank Shah,...
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