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Meta Faces Class Action Over AI Training and Facial-Recognition Claims

Meta is facing a proposed class action that accuses the company of using Facebook and Instagram photos to train its AI image models and to build biometric data for an unreleased facial‑recognition feature for its smart glasses. The suit was filed in Chicago by parents and children from Illinois and California and claims that Meta extracted biometric information from user photos without the…

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Key points

  • Meta sued for using Facebook/Instagram photos to train AI models and build biometric data for unreleased smart‑glasses facial‑recognition feature.
  • Complaint centers on hidden NameTag component in a 50 million‑downloaded companion app that converts captured faces into matchable biometric signatures.
  • Meta denies allegations; lawsuit seeks damages and injunctive relief under Illinois Biometric Information Privacy Act.

Central to the complaint is a hidden component called NameTag, discovered in the code of Meta’s AI companion app for its smart glasses. The app has been downloaded more than 50 million times, and the system is said to convert faces captured by the glasses into biometric signatures that can be matched against stored faceprints. The plaintiffs argue that those faceprints may have been derived from images posted on Facebook and Instagram, though Meta has not disclosed which photos were used.

The lawsuit also challenges Meta’s training of its Emu and Muse generative‑AI image systems, alleging that biometric data was extracted from people depicted in the training images. Meta denies the allegations and says NameTag has not been released to consumers or used to create a universal facial‑recognition database. The proposed nationwide class could cover millions of users whose images appear on Meta’s platforms.

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Full story from bing.com · by Amit Chowdhry · via Search: Meta Open source ↗

Meta Faces Proposed Class Action Over AI Training And Smart Glasses Facial Recognition

bing.com · 14 September 2026

Meta is facing a proposed class action alleging that the company improperly used Facebook and Instagram photos to train artificial intelligence image models and potentially build biometric data for an unreleased facial-recognition feature designed for its smart glasses, according to WIRED.

The lawsuit was filed in federal court in Chicago by parents and children from Illinois and California.

The plaintiffs allege Meta extracted biometric information from photos without obtaining the notice and consent required by privacy laws in those states. The allegations have not been proven in court.

A major focus of the complaint is NameTag, an unreleased facial-recognition technology discovered in code embedded in Meta’s AI companion application for its smart glasses.

The app had been downloaded more than 50 million times. WIRED previously reported that the system was designed to convert faces captured by the glasses into biometric signatures and compare them against stored faceprints.

The complaint alleges those faceprints may have been derived from Facebook and Instagram images, although Meta has not publicly disclosed what images, if any, were used to create the biometric data.

The lawsuit also challenges Meta’s training of its Emu and Muse Image generative AI systems, alleging that biometric information was extracted from people depicted in training images.

Meta disputes the allegations and says the lawsuit mischaracterizes its work. The company has said NameTag has not been released to consumers and that it is not creating a universal facial-recognition database.

The proposed nationwide class could potentially include millions of people whose images appeared on Facebook or Instagram or were submitted to Meta’s generative AI products.

The complaint seeks damages and injunctive relief, including claims under Illinois’ Biometric Information Privacy Act.

This text was published by bing.com and written by Amit Chowdhry. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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