Modern privacy

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:

European Court of Justice rules affirmatively on “Right to be Forgotten” online

May 20 Update: see our full analysis of the ruling here.  In a ruling with far-reaching implications for online privacy, the European Court of Justice has ruled that online search companies are subject to the European Data Protection Directive, (Directive 95/46/EC) . Search engine companies that are based in the EU, or multi-national search engine

India Update: Talk, National Law University, New Delhi India

I was honored to address students at the National Law University, Delhi this past week about privacy in the US and global privacy trends and issues. The talk included a Q and A session, during which the students engaged in a spirited conversation about US policies regarding surveillance and privacy. I enjoyed the session thoroughly. The students asked challenging questions in particular about telecommunications policies and the idea of safety versus privacy and achieving proper balance.

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