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

Modest reduction in the average FICO® Score in Canada as recent consumer credit trends continue

Monitoring a consumer's FICO® Score helps us understand how we got here and what may lie ahead for the average FICO Score

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

FICO Score credit risk trends through the COVID-19 pandemic

How the FICO Platform can enable explainable machine learning models for more effective PD calculations

Fierce competition, open banking and financial inclusion drive the uptake of transaction analytics in lending

Through explainable machine learning models, behavioural and PD models for the retail banking sector can be created with higher levels of predictiveness.

Whilst the EU have rightly focused on the use of AI and data science strategic leadership, more needs to be done on AI explainability

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.

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.