To see the research and use this data visualization : Each jurisdiction or country in the world has an associated country card with extensive data governance information and links. The power of this data visualization is to filter and sort the country cards to reveal patterns and regional details. Filter ...
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.
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.
Download PDF Download ePub Donate Credits → Version 2.0 Prepared by Robert Gellman for the World Privacy Forum, with assistance from Pam Dixon, executive director, World Privacy Forum. John Fanning, former privacy advocate, U.S. Department of Health and Human Services, and Dr. Lewis Lorton, health technology and privacy expert ...
This interactive map displays the location of each medical data breach recorded at the US Department of Health and Human Services from 2009-2016. To get the most from the map, you can view breaches by year, by region, and in a text list.
To score is human. Ranking individuals by grades and other performance numbers is as old as human society. Consumer scores — numbers given to individuals to describe or predict their characteristics, habits, or predilections — are a modern day numeric shorthand that ranks, separates, sifts, and otherwise categorizes individuals and also predicts their potential future actions. This new report by Pam Dixon and Robert Gellman explores this issue of predictive scores and privacy.
India and Privacy -- WPF has researched privacy extensively in India, and has documented a number of key privacy issues in a video series. So far, 5 videos in the series have been released. All of the videos were shot on location in India and feature Pam Dixon, with videographer Blake Hamilton. These videos offer a rare and early glimpse into privacy interactions and issues in India
World Privacy Forum information and materials on medical identity theft.
