WPF’s schedule at the 39th International Conference of Data Protection and Privacy Commissioners

The World Privacy Forum will be speaking several times during the International Conference of Data Protection & Privacy Commissioners in Hong Kong; here’s the schedule, below; we look forward to meeting or catching up with those of you attending, please come by and say hello.

Monday 25 September: European Data Protection Supervisor side meeting/conference, WPF attending.
Monday 25 September: Public Voice event: ED Pam Dixon will be speaking about her recent article in the peer-reviewed Springer-Nature journal, Health & Technology, also published (Open Access) in the Harvard-based journal, Technology Science. The article, A Failure to Do No Harm, is an original research article about India’s Aadhaar biometric ID ecosystem from 2010 to the present day. (Field research as basis.) Link to article: https://lnkd.in/gQ7FMZY
Wednesday 27 September: Asian Privacy Scholars Network Conference, University of Hong Kong. More information here.
Thursday 28 September: ED Pam Dixon is moderating the ICDPPC afternoon panel on consent, data ethics, and the modern data ecosystem (excellent panelists, lots of expertise), and subsequently she will be on a plenary panel later in the day. Details here: https://lnkd.in/gX4HzEC
Friday 29 September: WPF is attending ICDPPC.

Posted September 21, 2017 in Data Ethics, Do No Harm, Events and Conferences, International Privacy, Modern privacy, News, Press, and Media

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.