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VIDEO: The REAL Problems with AI – My Talk with Kate Crawford

Data bias and untrained data scientists pose risks to AI models - and the trust we place in business decisions

FICO Fights Prepaid Card Fraud with AI and Machine Learning

Collaborative Profiling is one of the advanced techniques in our fraud models for prepaid card fraud

How Big Is the Rideshare Fraud Problem?

New FICO data shows high rate of card fraud as criminals hitch a ride on Uber and Lyft

AI Predictions 2020: Artificial Intelligence Grows Up

Artificial Intelligence is encountering new demands in the areas of responsibility, advocacy and regulation.

UK Fraud Trends: Improving Detection Under PSD2

Credit cards appear to be the main target of fraud, with an average fraud rate 1.5 times that of debit cards

5 Ways To Provide Better Customer Service In Collections

Are you using the right technology solutions to enhance your operations, improve your bottom line and deliver better customer service in collections?

Detecting More CNP Card Fraud

FICO analytics can identify more low-value card fraud, an important next step in stopping criminals

Bank of England Validates Need for Explainable AI

The BoE's new report says explainable AI is necessary for machine learning to be applied in credit management

New Machine Learning Models Catch CNP Fraud Faster

As CNP fraud targets the online growth in luxury spending, new analytics improve the velocity of detection

Tax Compliance; Enhancements with Analytics

Tax agencies have a limited amount of resources to pursue tax compliance activities (collections and audit).

Procure-to-Pay, 3 Ways Analytics Reduces Risks and Costs

Government Collections Analytics: 3 Ways To Collect More Money

Ask Me Anything on AI: Highlights of My First Reddit AMA

“I’m Scott Zoldi and I’ve authored 95 patents on AI, machine learning and various analytic techniques. I’m Chief Analytics Officer of FICO. Ask me Anything.*

Deep Dive: How to Make "Black Box" Neural Networks Explainable

Neural networks are a powerful form of machine learning, but their black box nature often defies explainability. We have found a solution to this problem.

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