Video – Biometrics Series: Automatic Video Enrollment in Action — Capturing Consumer Facial Biometrics

An important and emerging area of facial recognition tech is “Passive Inspection Point” tech. This means the technology automatically captures consumers’ face prints as they move through public spaces like malls and on city streets. This video showcases current technology by Accenture that can automatically collect and enroll consumers’ facial biometrics from many angles. In this video, the sales rep talks about how people in public spaces, for example, passing by on escalators, can be auto-enrolled in a biometric database and identified in this way. This technology can be used in multiple public and private spaces. We shot this video in London at the 2013 Biometrics conference, where the world’s leading biometrics experts convened.

This specific technology by Accenture was discussed at the US Department of Commerce’s NTIA multistakeholder process on Feb. 6, 2014.

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See our complete biometrics video series here.

Posted February 6, 2014 in Biometrics, Facial Recognition, Video -- Biometric Series
Tags: Accenture

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.

Video – Biometrics Series: Automatic Video Enrollment in Action — Capturing Consumer Facial Biometrics

Watch Automatic Video Enrollment in Action on Vimeo

Watch Automatic Video Enrollment on YouTube

See our complete biometrics video series here.