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

Trade-based money laundering is the process of disguising the proceeds of crime and moving value using trade transactions to legitimize their illicit origins

Three new success stories show how banks are using technology and best practices to fight AML in the pandemic

FICO's European Fraud Map for 2020 shows how the UK, Denmark and Hungary benefitted from tight controls - while many countries did not

The profusion of payment mechanisms may be confusing for consumers, and a goldmine for fraudsters

With all the expense pressures that AML programs face, corporations are seeking ways to reduce the regulatory burden, and top of mind is robotic process automation

Toby Carlin examines a wave of Brexit scams and offers advice on how to spot, prevent, and report them

Nearly four out of five respondents from UK banks said that working from home had a high or major impact on the effectiveness of their financial crime prevention

Regulators will look to tighten up on financial crime next year

FICO and Crystal Blockchain of Bitfury Group announce partnership to deliver real-time crypto-currency risk management

European card fraud reduced by 2% across 18 countries studied - but there were winners and losers

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.