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Facial Recognition

ISPI Forum on Digital Transformation, WPF speaker 

The Italian Institute for International Political Studies (ISPI) will be holding a High Level Forum on Digital Transformation in connection with OECD. The event will be held 16 May 2022 in hybrid format. WPF will be speaking about what risks exists for consumers arising from illicit use of their personal ...

FTC agrees to make compliance report public in face recognition-related case; WPF comments had a positive impact

We are extremely pleased and heartened that after years of requesting that the FTC make compliance reports public, that the Commission has agreed to do so with the Everalbum settlement. WPF submitted comments regarding the Everalbum proposed settlement to the US Federal Trade Commission on February 23, 2021. Today, the ...

FTC proposes precedent-setting face recognition settlement: photo app company must delete consumers’ photos and the algorithmic models it developed using the photos

The FTC has proposed a crucially important settlement with a photo app developer, Everalbum Inc., which the FTC says “deceived consumers about its use of facial recognition technology and its retention of the photos and videos of users who deactivated their accounts.” The proposed FTC settlement will require the company ...

Face Recognition and Face Masks:  Accuracy of face recognition plummets when applied to mask-wearers; NIST report 

NIST has published its first report regarding face recognition algorithms and the wearing of face masks. The report quantifies how one-to-one face recognition systems perform when they are utilized on images of diverse people wearing a variety of mask types and colors. The study found that pre-COVID-19 FR algorithms have substantial error rates, some reaching as high as 50 percent for false non-match rates.

The importance of Doing No Harm: India's plan to create a new national facial recognition database

This coming Friday, the government of India is planning to announce the winner of a Request For Proposals to create a large, national, centralized facial recognition system for law enforcement purposes. The tender for the project outlines an ambitious program of facial surveillance in India utilizing image databases that law ...

WPF and Brookings co-hosting Biometric Roundtable at International Conference of Data Protection and Privacy Commissioners

The World Privacy Forum and the Brookings Institution will co-host a Biometric Roundtable Wednesday, October 23 at the International Data Protection and Privacy Commissioners’ Conference in Tirana, Albania. Cam Kerry of Brookings and Pam Dixon of WPF will co-moderate the discussion. The purpose of the Biometrics Roundtable is to promote ...

WPF moderating seminar on GDPR & biometrics in Brussels, Belgium

WPF executive director Pam Dixon will be moderating a seminar to be held by the Biometrics Institute in Brussels, Belgium on 17 April on the topic of implications and implementation of the GDPR. The event will be held at the Office of the Spanish National Research Council, 7th Floor, Room ...

WPF at RightsCon to Present on Digital Identity, Digital Rights

We are honored to be speaking on two panels at this year’s RightsCon, an event that takes place 29-31 March in Brussels, Belgium. Both of our panels will be on the 31 of March. Here is some additional reading and information for each of the panels: Panel 1: Managing Concerns Around Digital Identity, Fri, 9:00-10:15, Innovation, 1st Floor....

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.

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

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.

Video - Biometric Series Home Page: Intro to the technologies of identity

This is the World Privacy Forum video series on biometrics. We filmed these videos on site at Biometrics 2013 in London, the premier global biometrics event. We spoke on a panel about privacy and biometrics, and we explored the newest advances in biometric technologies. These videos offer a brief glimpse into some of the most important biometric devices and tech being used and developed today. This page will be updated frequently as we add new videos.

WPF on CES Panel on Facial Recognition

Facial recognition -- Pam Dixon spoke at a CES panel on privacy issues in facial recognition technologies as part of the Leaders in Technology program at CES. The panel was moderated by Tony Romm of Politico and included FTC Commissioner Maureen Ohlhausen and Harley Geiger, legislative counsel for Representative Zoe Lofgren. Dixon spoke on the need for increased work on consumer options in a "sensor rich environment where there is no option to opt out by walking out." Referenced in the panel was WPF's report on digital signage and facial recognition, The One-Way Mirror Society.

WPF says a "walk-out opt-out" is not enough for consumer protection

Facial recognition | Digital signage -- The World Privacy Forum filed extensive comments to the FTC today following up on Pam Dixon's testimony at a December 2011 FTC facial recognition privacy workshop. The WPF comments noted that "A walk-out opt-out is not a viable way of managing consumer consent in the area of facial recognition or detection technologies." The comments discussed the importance of recognizing the Face Print as a unique biometric, and also discussed the need for finding ways of consumer consent that are reasonable. Given the ubiquity of cameras in some retail and public spaces, just walking away will become less and less of an option for consumers going forward, the comments argued. The comments also included the WPF's ground breaking report, The One-Way Mirror Society, and the joint Consumer Privacy Principles for Digital Signage.These principles were signed by the nation's leading privacy and consumer groups.

Public Comments: January 2012 - Regarding Face Facts: A Forum on Facial Recognition

The World Privacy Forum appreciates the opportunity to comment on the issue of facial recognition pursuant to the FTC Face Facts Workshop held on December 8, 2011. [1] The World Privacy Forum spoke on Panel 4 of the workshop, and those comments are already on the record. In these written comments, we would like to submit several key documents for the record and reaffirm several ideas from the workshop. The documents we are including as part of these comments include the World Privacy Forum’s groundbreaking report on digital signage, The One Way Mirror Society. Also included as part of these comments are the consensus privacy principles for digital signage installations that were signed by the leading US consumer and privacy groups.

WPF testifies at FTC facial recognition hearing

Facial recognition -- Pam Dixon of WPF testified at the FTC's Facial Recognition workshop, speaking on a panel about the policy implications of facial recognition technology. The World Privacy Forum's report on Digital Signage was mentioned several times at the hearing, as were the collaborative consumer protection principles the WPF led.

Consumer Tip: Opt out of automatic Facebook facial recognition

Privacy tip -- If you have a Facebook account and if you have ever been tagged in a photo of yourself on Facebook, we want to alert you to an important Facebook setting. Unless you have proactively changed your privacy settings, Facebook will use facial recognition tools to compare photos and make tag suggestions. When new photos that look like you have been uploaded, Facebook will suggest tags with your name. To opt out of this, in Facebook go to Account, then choose Privacy Settings from the drop down menu. Click the Customize Settings link, and then scroll down and look for the Suggest Photos of Me to Friends line. To opt out, click Edit Settings, then choose Disable on the drop down menu.

WPF to speak at FTC Privacy Roundtable

FTC Privacy Roundtable -- Thursday, January 28, WPF Executive Director Pam Dixon will be speaking at the FTC's Privacy Roundtable about the privacy implications of digital signage networks and will be specifically discussing the new report: The One-Way Mirror Society: Privacy Implications of the New Digital Signage Networks. Few consumers, legislators, regulators, or policy makers are aware of the capabilities of digital signs or of the extent of their use. The technology presents new problems and highlights old conflicts about privacy, public spaces, and the need for a meaningful debate.

WPF Report: One-Way-Mirror Society - Privacy Implications of the new Digital Signage Networks

This 2010 WPF report, The One Way Mirror Society, explores new forms of sophisticated digital signage networks and their privacy implications in the US and other countries. Digital signage networks are being deployed widely by retailers and others in both public and private spaces. From simple people-counting sensors mounted on doorways to sophisticated facial recognition cameras mounted in flat video screens and end-cap displays, digital signage technologies are gathering increasing amounts of detailed information about consumers, their behaviors, and their characteristics.

One-Way-Mirror Society: Introduction - What is digital signage and why care about its privacy implications?

The digital signage networks this report addresses are bi-directional. These networks give information to viewers while they capture information from viewers and send it back to a home base. In the digital signage industry, the new technologies are often compared to the interactive signs from the movie Minority Report. [1] In the movie, large-screen video billboards recognized individual consumers and delivered personalized advertisements to each person. The movie version of the digital signs and billboards relied on an iris scan to customize the ads. Today’s modern digital signs rely on advanced video analytics and sophisticated cameras and sensors.

One-Way-Mirror Society: Overview of key digital signage capabilities in place today

The best way to understand the capabilities of digital signage today and how it is being used is to see the digital signage industry’s newly minted Recommended Code of Conduct for Consumer Tracking Methods (See Appendix A for complete document). This document on consumer tracking methods in digital signage was written and agreed upon entirely by industry members, without any participation by consumer representatives. The document reflects the advances in technology in this area and where the possibilities for abuse lay. The opening of the document reads:

One-Way-Mirror Society: Lower and Medium Privacy Risk Consumer Tracking Technologies

Heat maps and path tracking technologies essentially generate maps of where consumers spend the most time standing and walking in stores. (Figure 2). One product, PathTracker, uses RFID chips for large store tracking, and video tracking technology for smaller stores or sub-areas within stores.

One-Way-Mirror Society: High Privacy Risk Consumer Tracking Technologies

Facial recognition technology was initially developed for security purposes, but it has found a new use in digital signage for marketing and ad targeting purposes. Essentially, the process is that a camera captures an individual’s image, then checks it against algorithms that analyze at least 80 facial characteristics, such as distance between eyes, length of the face, width of the face, depth of eye sockets, and so forth. [48] Layers of algorithms are used to crunch the facial information into determinations about a person’s age bracket, gender, and ethnicity. The next efforts are going toward coding the facial expressions of shoppers to “capture their emotional reactions to in-store environments.” [49]

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