AI

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,”

Robot Interviews: AI and the world of work

AI will alter the world of work, both in workplaces and in workplace information ecosystems. Labor experts have a term for negotiating the near and long-term effects of AI: “A fair and just transition.” These and other experts have already begun documenting the emerging changes in the workplace resulting from AI deployments. Some consequences are positive, some are deleterious. No one has a crystal ball with a perfect view of what the future may hold. That’s why a key focus now for those interested in AI and the world of work is to research and benchmark what is happening.