Video – Biometric Series: Automatic Border Control Entry Point Demo (Facial Recognition)

The World Privacy Forum participated in Biometrics 2013 in London. We spoke on a panel on privacy and biometrics, and we explored the newest advances in biometric technologies at the conference exhibition.

This video is of an automatic border control entry point demo, along with examples of real-world installations of automated facial recognition-based entry systems. This technology collects facial recognition information from the people passing through a checkpoint to allow or disallow entry. This “ABC” type of technology is used at entrances to places such as commercial companies, border crossings, and airports.

The automatic biometrics collection unit in this video can collect facial biometric information and demographic information. Soon, the ABC unit will be able to also collect iris scans. ABC units typically compare the biometrics information of the person entering the checkpoint to a biometric database for identity comparison. This video shows this happening in real time. Note: You’ll hear the term “enrollment” in the video — enrollment here means the person’s faceprint has been entered into a biometric database, typically for identity comparison purposes.

An automatic border control entry point in action. This technology collects facial biometrics of the people passing through the checkpoint. The images are compared to an ID to confirm identity. This demo is of a border crossing or airport use of ABC biometric technology.

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For more information, see all of our biometric video series on one page.

Posted February 4, 2014 in Biometrics, Facial Recognition, Video -- Biometric Series, Video Posts
Tags: Automatic Border Crossing tech

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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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 – Biometric Series: Automatic Border Control Entry Point Demo (Facial Recognition)

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For more information, see all of our biometric video series on one page.