Privacy and Design Salon, Pacific Northwest College of Art, WPF speaking

This Wednesday at 5:30 the Pacific Northwest College of Art is hosting an informal conversation on designing workable and just digital privacy systems and policies in the Collaborative Design studio with Pam Dixon of World Privacy Forum, and Dawn Nafus, Senior Research Scientist at Intel as well as members of the Collaborative Design faculty.

Some of the topics for discussion include national ID cards, data paternalism, individual health data monitoring, privacy impact assessments, and various privacy policies outside the United States. We’ll be looking at these issues from the perspective of our current digital ecosystem and potential future scenarios for digital privacy.

This salon is by invitation only. If you are interested in attending, please contact WPF prior to noon on Wednesday.

Posted November 29, 2016 in

Global Visualization of Countries with Data Privacy Laws, Treaties, or Conventions

Background and Methodology: The conceptualization and initial research for this...
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...