AI

Data integrity, data manipulation, and privacy

In a new National Academies of Science report on the emerging bioeconomy, Safeguarding the Bioeconomy, the authors did something a bit unexpected: they called out cybersecurity and sensitive data protections and practices as significant co-factors for economic success. In the past, these same data security and privacy factors may well have been discussed as obstacles to progress.

WPF to testify before NCVHS on emerging privacy concerns in health privacy — Beyond Digitization: Artificial Intelligence, APIs, and health privacy

WPF Executive Director Pam Dixon will testify before the full committee of the National Committee on Vital and Health Statistics (NCVHS) regarding emerging privacy concerns in the healthcare environment, including the role of artificial intelligence, patient authorizations, and automated access to patient health information.  The NCVHS is the statutory [42 U.S.C. 242k(k)] public advisory body

The importance of Doing No Harm: India’s plan to create a new national facial recognition database

This coming Friday, the government of India is planning to announce the winner of a Request For Proposals to create a large, national, centralized facial recognition system for law enforcement purposes. The tender for the project outlines an ambitious program of facial surveillance in India utilizing image databases that law enforcement officers could access in

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,”