Statistical Parity

WPF News: Scoring of America report in NYT, White House report

We are delighted that our 2014 report, The Scoring of America, was discussed in the New York Times over the weekend. The Scoring of America was the first major report to discuss, analyze, and rigorously document the secret scores that determine many key aspects of Americans’ financial, educational, health, and work lives and opportunities. We

Panel talk: Big data, privacy, and vulnerable populations

Pam Dixon will be speaking at the IAPP-FTC Practical Privacy Conference in Washington DC this week. The conference is from Dec. 2-3. Her panel talk will focus on privacy issues relating to identifiable large datasets and vulnerable populations. She will also be discussing the role of data brokers in compiling datasets and categorizing people, as

Public comments: WPF urges FTC to focus on providing statistical parity for consumers (Big Data workshop)

WPF urges FTC to focus on consumers’  ability to control their digital exhaust and statistical parity for big data era At the FTC workshop on Big Data September 15, Big Data: Tool for Inclusion or Exclusion?, panelists including the World Privacy Forum discussed legal and ethical frameworks that are applicable to large datasets and issues

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:

Privacy Spotlight: FTC Big Data Event

Big Data and its potential for inclusion and exclusion was on center stage this past September as the FTC held a day-long workshop with experts from industry, technology, privacy, civil liberties, and academia. World Privacy Forum’s Executive Director Pam Dixon, a panelist at the event, spoke about Big Data and privacy, emphasizing several key points, including the need for statistical parity, fairness, and the need for keeping existing consumer protection regulation.