This coming Thursday, WPF Executive Director Pam Dixon will give a keynote speech on health privacy and security, “The New Healthcare Fraud Continuum.” Based on her latest research in health privacy, this talk will be Dixon’s first talk about the new fraud continuum, what it is, how it operates, what it means to providers and patients,
On Christmas Eve, the US National Security Agency (NSA) declassified and released 12 years of reports outlining compliance violations that were submitted to the NSA Intelligence Oversight Committee. The reports, which are required by law, had previously been classified and were the subject of a legal battle between the ACLU and the government. Although heavily redacted, the reports the NSA released of are vital interest to the public because they reveal a pattern of significant privacy violations and in some cases serious abuses in granular detail.
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:
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.
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