The Scoring of America

Why the new US regulatory standards for accuracy, integrity, and reliability in credit scoring models matter — a lot

For several years now, groups of stakeholders large and small and points in between have been working on ethical AI, rules for AI, privacy and explainability in AI, and more. WPF actively participated as a delegate in one of the largest international efforts, that of the OECD to write the OECD Principles on Artificial Intelligence,

WPF Executive Director Pam Dixon to testify before US Senate on privacy, predictive analytics, and data brokers

Pam Dixon, WPF Executive Director, is testifying before the US Senate Banking Committee today on the topic of privacy, the Fair Credit Reporting Act, data brokers, and predictive analytics. “I am pleased to have the opportunity to discuss our research and what we have documented about the privacy of Americans in a predictive analytics era,”

The Scoring of America: Op Ed for IAPP & FTC Alternate Scoring Conference

This op ed was originally published Wednesday, March 19 2014 in IAPP for the FTC Alternate Scoring Conference.

In our modern sea of data, the resources to examine all relevant information regarding a decision is no longer feasible, so we use shortcuts. Consumer scores built using predictive analytics and fed by large datasets are the modern-day shortcuts to understanding individual consumer behavior. That’s why new and unregulated consumer scores abound. They are used widely in today’s world to predict consumers’ behavior, spending, health, fraud, profitability, and much more. These scores rely on petabytes of information coming from newly available data streams, and some old ones.