Public Comments

WPF urges National Science Foundation to study Statistical Parity

The World Privacy Forum submitted public comments today to the National Science Foundation in response to its request for information about a national privacy research strategy. WPF urged a research focus on statistical parity and its implementation. Statistical parity is a term WPF’s Pam Dixon coined at the FTC’s Big Data, Tool For Inclusion or Exclusion? workshop in September 2014. Here is Dixon’s definition of the term:

Public Comments: WPF files comments on proposed national identity standard, recommends changes

The World Privacy Forum filed technical comments on the IDPV National Standard Project today, offering key privacy recommendations on the proposed standard, Requirements and Implementation Guidelines for Assertion, Resolution, Evidence, and Verification of Personal Identity, version 5.3.1. WPF analyzed the proposed standard carefully, and sees the need for several changes to the standard to improve consumer privacy. In our comments, the intent is to help create a standard that increases security, trustworthiness of identities, and identity credentials while protecting individual privacy.

WPF Comments about Privacy and Big Data: Ethical Framework and Rights Essential

The World Privacy Forum filed comments with the U.S. Department of Commerce in response to its Request for Comments about big data, privacy, and the Consumer Privacy Bill of Rights. The White House Big Data report recognized that Big Data “raises considerable questions about how our framework for privacy protection applies in a big data ecosystem” and has the potential to “eclipse longstanding civil rights protections in how personal information is used in housing, credit, employment, health, education, and the marketplace.” This is among our concerns as well, and our comments focused on understanding big data’s benefits while drawing attention to where there are significant privacy risks that need to be addressed.

WPF urges Big Data approach that addresses vulnerable populations

The World Privacy Forum’s recent public comments to the White House regarding Big Data focus on using a foundation of Fair Information Principles to address issues connected to bias, error, and privacy regarding big data as applied to vulnerable populations. The comments also discuss large medical research data sets, and stress the importance of applying