Skip to main content
  1. Home
  2. Emerging Tech
  3. Legacy Archives

FBI’s facial recognition database holds records on 1/3 of all Americans

Add as a preferred source on Google

Following a Freedom of Information Act (FOIA) lawsuit filed by the Electronic Frontier Foundation (EFF), the FBI has just released new documents that show the Bureau is making steady progress on its facial recognition database.

The lawsuit called on the FBI to release information pertaining to Next Generation Identification (NGI) — a massive biometric database that the FBI has been amassing for quite some time, and that may hold records on up to a third of the U.S. population.

Recommended Videos

NGI is essentially a sophisticated new identification database built upon the FBI’s existing fingerprint database, which already contains more than 100 million individual records. In addition to fingerprint data, the system has been built up to include other forms of biometric data, including palm prints, iris scans, and facial recognition info. The NGI system takes all this biometric information and links it to personal details like name, address, driver’s license number, age, race, etc.

The new NGI system will reportedly lump criminal and non-criminal facial information together into a single database.

The records that the EFF received indicate the facial recognition component of NGI has been rapidly expanding over the past few years, and may hold as many as 52 million face images by 2015. In 2012, the NGI contained about 13.6 million different images, representing about seven or eight million individuals. By 2013, that number was up to about 16 million. Due to the fact that the system will be capable of processing 55,000 direct photo enrollments on a daily basis, the database is poised to expand at a drastically accelerated rate.

Aside from its rapid growth, what’s most troubling about the facial recognition database is the fact that the Bureau doesn’t reveal where all of the images are coming from. According to the released documents, the NGI may include over a million face images from “New Repositories” and the “Special Population Cognizant” categories — two places the FBI doesn’t explain anywhere in the documents.  This is a problem because, without this information, we don’t know what rules govern these categories, where the data comes from, how the images are gathered, who has access to them, or whose privacy is impacted.

Even more troubling is the fact the new NGI system will reportedly lump criminal and non-criminal facial information together into a single database, and change the way that records are searched. Previously, criminal and non-criminal databases were searched separately, but NGI gets rid of any separation, giving every record –criminal or non– a Universal Control Number, and running every search against all records in the FBI’s database.

Check out the EFF’s full report for further details.

Drew Prindle
Former Senior Editor, Features
Drew Prindle is an award-winning writer, editor, and storyteller who currently serves as Senior Features Editor for Digital…
Robot dogs were supposed to help humans. Now humans are being asked to babysit them
One startup offered $20 an hour to walk its robots, with some heavy lifting required when the dogs overheat
GO2 robot dog

San Francisco startup Dimensional advertised for people to walk robot dogs through city streets. The New York Times reported that the job could include carrying a roughly 33-pound robot back to the office if it overheated. A lift home is an awkward requirement for a labor-saving machine.

Keeping the hardware running is only one challenge. Anthropic's robotics tests found that language models mostly failed when controlling joints directly, but did better when directing trained controllers. Giving an AI agent a body doesn't teach it to handle ordinary household objects.

Read more
Forget smartwatches; this smart bed could soon help keep you safe from being a fall risk
Who needs another wearable when your mattress could help spot fall risks?
Bed

Soon, a mattress protector may be more than a bed cover. Australian medtech company Sleeptite and researchers at RMIT University have received a US patent for FlexiSense, a smart bedding technology that tracks body position and posture to help caregivers identify when older residents may be at risk of falling.

The technology is being developed for Sleeptite’s in-bed monitoring system, REMi, and was recently on display at The MedTech Conference in Boston. A peer-reviewed study in Flexible and Printed Electronics says the sensors can also be made at scale without sacrificing performance or durability.

Read more
Anthropic’s sensitive internal data was exposed, and AI helped make it happen
Even the company behind Claude isn't immune to AI-powered security threats, as researchers discovered some worrying vulnerabilities.
Claude Anthropic Featured

AI companies spend enormous amounts of time convincing us their technology is safe and secure. But what happens when those same companies become targets of increasingly sophisticated AI-powered attacks? Anthropic, the company behind Claude, is now facing that question. According to a Washington Post report, cybersecurity startup Cathedral discovered vulnerabilities that let its researchers access sensitive information in Anthropic's internal systems.

The researchers used AI agents to identify potential entry points in less than 12 hours. Interestingly, they didn't need to crack Claude itself. Instead, they exploited weaknesses in third-party business applications that Anthropic uses for everyday operations. Anthropic's security testing program disclosed the findings, which allows outside researchers to identify and report vulnerabilities.

Read more