WPF Congressional Testimony on Data Broker Security Available

WPF’s Congressional testimony of Nov. 3, 2015 before the US Senate Judiciary Committee is now available online. Please visit the Senate download site here to access the written testimony. The testimony focuses on data brokers, information security, and regulatory controls.

A video of the actual hearing is also available from the Judiciary website, that is available here.

Please note that these links will take you to the Senate website. When the hearing transcript becomes available, we will update this page to include that link.

Posted November 16, 2015 in Congressional testimony, Cybersecurity, Data Brokers

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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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