I predict that Auditable AI and Humble AI will become widely used in 2022, as essential parts of Responsible AI

FICO’s data science labs called interpretable latent feature-based neural networks (ILF NNET) help expose and eliminate biases derived from data showing up in the model.

The Responsible AI Playbook provides a clear path to operationalizing AI deployments. Use it to achieve high-impact business results within important ethical and legal boundaries.

Data scientists need to justify the need for the incremental risk we assume when using more complicated methods to solve a problem - not be open source junkies

Auditable AI provides the documentation and records necessary to pass a regulatory review

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

FICO’s new Scam Detection Score identifies 50% more scam transactions compared to the standard fraud score

New "State of Responsible AI" report from Corinium and FICO finds that most companies don’t—and are deploying artificial intelligence at significant risk

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

There is an urgent need for open banking fraud detection, even before banks have sufficient data to train supervised fraud detection models

In part 2 of this series, I take a deep dive into the data science that drives monotonicity and palatability, qualities that help gain trust in AI

Now there is a better way to reduce SAR false positives while stopping money laundering

In part 1 of this series, I explore why it's vital - and difficult - to achieve monotonicity and palatability in certain AI models