AI

Aug 19 2019

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,

Jun 11 2019

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,”

May 06 2019

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.

Mar 15 2019

OECD draft Council Recommendation of AI is now final

WPF is pleased to announce that after more than two years of work, the OECD draft Council Recommendation on Artificial intelligence is now final. The draft now becomes the OECD Guidelines on AI. The final meeting took place in Paris, Friday 15 March at OECD headquarters, where the CDEP Committee adopted the Guidelines at approximately

Jul 16 2018

WPF Summer & Fall 2018 Privacy Events

WPF will be speaking and/or participating in the following events this summer and fall. Please join us, or let us know if you will be attending. Global Forum on Artificial Intelligence, Swiss Re Center for Global Dialogue, 9-10 July 2018. Zurich, Switzerland. Pam Dixon, WPF Executive Director, delegate. Europlace International Financial Forum, 11-12 July 2018.

New Report: Risky Analysis: Assessing and Improving AI Governance Tools

We are pleased to announce the publication of a new WPF report, “Risky Analysis: Assessing and Improving AI Governance Tools.” This report sets out a definition of AI governance tools, documents why and how these tools are critically important for trustworthy AI, and where these tools are around the world. The report also documents problems in some AI governance tools themselves, and suggests pathways to improve AI governance tools and create an evaluative environment to measure their effectiveness. AI systems should not be deployed without simultaneously evaluating the potential adverse impacts of such systems and mitigating their risks, and most of the world agrees about the need to take precautions against the threats posed. The specific tools and techniques that exist to evaluate and measure AI systems for their inclusiveness, fairness, explainability, privacy, safety and other trustworthiness issues — called in the report collectively AI governance tools – can improve such issues. While some AI governance tools provide reassurance to the public and to regulators, the tools too often lack meaningful oversight and quality assessments. Incomplete or ineffective AI governance tools can create a false sense of confidence, cause unintended problems, and generally undermine the promise of AI systems. The report contains rich background details, use cases, potential solutions to the problems discussed in the report, and a global index of AI Governance Tools.
National IDs Around the World — Interactive map

About this Data Visualization: This interactive map displays the presence...
Report: From the Filing Cabinet to the Cloud: Updating the Privacy Act of 1974

This comprehensive report and proposed bill text is focused on the Privacy Act of 1974, an important and early Federal privacy law that applies to the government sector and some contractors. The Privacy Act was written for the 1970s information era -- an era that was characterized by the use of mainframe computers and filing cabinets. Today's digital information era looks much different than the '70s: smart phones are smarter than the old mainframes, and documents are now routinely digitized and stored and perhaps even analyzed in the cloud, among many other changes. The report focuses on why the Privacy Act needs an update that will bring it into this century, and how that could look and work. This work was written by Robert Gellman, and informed by a two-year multi-stakeholder process.