Big Data

Big Data is a term WPF uses to describe very large datasets and the technologies and practices of handling those datasets. Typically, Big Data datasets are so large that traditional database systems are not able to handle or analyze them.

Sources for Big Data are many and varied. They include web data, sensors, cell towers, census data and other data from the government, social media, transactional data, and a variety of other data collection systems.

We have seen a tendency to use the term Big Data as a loosely defined stand-in for a number of privacy issues that sound the same, but aren’t. For example, Big Data and Data Brokers are sometimes used together. The two ideas are distinct and different, and it is crucial for public policy and discussion that the two are not conflated as being the same thing or even a similar thing. It is possible to work with Big Data and never be a Data Broker.

Large datasets are intriguing to the World Privacy Forum, and our research on large datasets resulting from sensors and ID cards in Asia helped us understand and explore the issue in-depth. Large datasets sometimes present privacy challenges, but sometimes they do not. Much depends on how the dataflows are collected, managed, stored, and so forth. Understanding these differences and knowing when and where the challenges are is going to be important going forward in this rapidly evolving space.

May 13 2015

Public comments: WPF encourages NIST to refine report on de-identification of personally identifiable information

The World Privacy Forum submitted comments today to the National Institute of Standards and Technology in response to its publication, Draft Report on De-Identification of Personally Identifiable Information (NISTIR 8053). The WPF welcomes the draft NIST report, as the area of de-identification and re-identification of personal data swirls with controversy and confusion. We see considerable value

May 02 2015

News Release: WPF to present on Big Data at Euroforum

FOR IMMEDIATE RELEASE May 5, 2015 Berlin, Germany — WPF Executive Director Pam Dixon is presenting today at Euroforum to a distinguished audience of European Data Protection Commissioners and other privacy experts. She will be discussing the Scoring of America report and key solutions for the issues predictive analytics and big data bring to today’s

Apr 22 2015

Medical identity theft and electronic health care records: risks and solutions

Executive Director Pam Dixon will be speaking this Friday at the National Association of Healthcare Journalists about electronic records, and the risk of medical identity theft and other risks that arise from data breaches of medical records. Dixon’s talk will cover new research, as well as discuss potential solutions to the problems. Details: When: Friday,

Apr 13 2015

Collections Scoring, Privacy, and Consumer Impacts

This coming Thursday, Pam Dixon will be presenting new research on collections scoring, privacy, and impacts on low and middle income consumers. The Dixon/Gellman report, The Scoring of America, sparked a national conversation about analytics and fairness in the realm of consumer scores. This talk focuses on one particular category of scoring, that of using

Apr 10 2015

Video: Healthy Cities Project in China — 20 million health records in the cloud (CES 2015, interview)

The Healthy Cities Project in China is one where mobile devices, mobile health mini-hubs, and sensors are the key way that patients, doctors, government, and enterprises can input, monitor, and access vital health statistics and other information in the cloud. Twenty million people already use this system. Healthy Cities is important for study, because it is a fully established infrastructure in those cities in China where it has been deployed. In the US, the Healthy Cities project is being studied by academics to see how it could be replicated in the US marketplace.

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.