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…
Researchers hid a prompt injection inside a PNG, and AI fell for it
Hacker

AI coding assistants like Claude are becoming every developer's favorite coworker. They can review code, explain confusing functions, and even write entire features with a single prompt. But new research suggests that this growing trust could also become their biggest weakness.

A team of security researchers (professor Sudipta Chattopadhyay and researcher Murali Ediga) has demonstrated an unusual attack that doesn't target the AI model directly. Instead, it targets what the AI doesn't pay enough attention to during code reviews. Rather than hiding malicious instructions in lines of code, the researchers tucked them inside an image file. Since many AI review tools treat images as decorative assets rather than as something worth inspecting, the pull request can appear perfectly harmless and sail through the review.

Read more
AI has already fallen into the wrong hands and they’re using it to make bombs
Logo, Text

Artificial intelligence has quickly become the go-to tool for everything from writing emails and summarizing meetings to helping students study or developers debug code. But the same technology that saves people time can also be misused, and a new report suggests that terrorist organizations are finding ways to do exactly that.

According to a research paper shared with The New York Times ahead of its publication, researchers found evidence that members of Boko Haram have been using popular AI chatbots to support both day-to-day activities and combat-related tasks. Interviews with 27 former members conducted in Nigeria over the past two years suggest that tools such as ChatGPT, Gemini, Claude, Grok, Meta AI, and DeepSeek were used to gather technical information, troubleshoot weapons, and even assist with planning attacks.

Read more
Claude Code can now browse the web without opening Chrome
The desktop app now includes an in-app browser that can read websites, click links, and interact with web apps.
Claude Code Featured

Developers spend a surprising amount of time bouncing between their code editor, browser tabs, API documentation, GitHub issues, and design files. Anthropic thinks Claude Code should simply do all of that without constantly asking users to switch windows. The company has announced a new in-app browser for Claude Code on desktop, allowing its AI coding assistant to open websites, read documentation, inspect designs, and interact with web pages directly from within the application.

A browser built into Claude Code

Read more