How does progress in artificial intelligence stack up to the FICO credit score model?

Blending artificial intelligence, machine learning and domain expertise in the design of credit scores - a video discussion with Agus Sudjianto

How FICO Scoring can help companies make decisions that benefit society

Pioneered by FICO, credit scoring has helped women worldwide get better access to credit, breaking the bias with data science

As consumer spending patterns change in the pandemic, fraudsters are changing to match

New communications tools must be combined with a focus on each borrower's financial circumstances, to identify vulnerable customers and how to manage them

Segmentation and new variables are among the COVID-19 banking recommendations

Santa's facing a number of challenges this year related to the pandemic. Can the FICO Platform help?

FICO works to keep credit flowing during uncertain economic times

Diverse thinking is needed to avoid introducing gender bias and other forms of bias into analytic models

Spotlighting global financial inclusion innovation at 2019 FICO World

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.

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.

Following a slide that lasted four+ years, the FICO® Credit Health Index for Russia began climbing in April 2016 and climbed another 2 points last quarter.

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.