Cobots are collaborative robots, and they're part of the way financial services fight fraud and financial crime

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 accessibility and collaboration are critical as banks seek technology convergence to fight fraud and financial crime

Venmo and PayPal’s in-store arrivals underscore the need for a holistic approach for fraud protection for P2P payments and more

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

The NACHA WEB Debit rule increases fraud detection but more is needed to protect consumers

The new FICO community will give you more detailed practical information to help your organization fight fraud & financial crime, and hear from fraud experts

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

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

Digio increases customer contact rate to 72% above market average with FICO Customer Communication Services for Fraud

FICO research highlights challenges for fraud and financial crime teams amidst pandemic.

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