Launch of the WPF Discussion Forum: The Paradox of Consent, analysis by Bob Gellman

Discussion Forum: Consent and Privacy — World Privacy Forum launches its Discussion Forum with an inaugural paper by Robert Gellman on the complexities of consent in the privacy sphere. Gellman’s analysis focuses on the core privacy issues underlying “The Maine Incident,” that is, Maine’s historic 1998 passage of medical privacy legislation, and the subsequent repealing of key aspects of that legislation two weeks after it was enacted. Issues related to consent were key factors in the Maine events.

Read Gellman’s paper in the WPF discussion forum, or jump directly to Gellman’s paper: Consent for Disclosures of Health Records: Lessons from the Past (PDF).

Posted April 20, 2007 in Blog Post, Uncategorized

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

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