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

What are the strategies that are reshaping the battle against prepaid card fraud within the realm of mobile wallets?

Our recent global survey reveals the investment priorities and functionality requirements for enterprise-level fraud solution buyers

How FICO Scoring can help companies make decisions that benefit society

Measuring the right things matters - if fraud reduction comes at a cost to customer experience, you may have the wrong fraud KPIs

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

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

When designing a strategy for detecting and preventing fraud, everyone always comes to the same conclusion—there is no silver bullet.

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.

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.