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.

FICO’s contextual intelligence capabilities allow organizations to become more efficient and effective in two important ways related to fraud and financial crime compliance

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

Contextual intelligence puts the right amount of data into the appropriate context, at specific moments in the customer journey

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

Choosing the decisioning platform for your organization to combat fraud and financial crime

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

Bitcoin and other cryptocurrencies are joining mainstream banking—what are the risks from an AML perspective?

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

How FICO uses global payments data to accurately prevent the next fraud event across a wide range of payment types and channels

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