Meta Glasses Risk Turning Wearers Into Facial-Recognition Nodes, Warns EFF
EFF reports that Meta's always-on surveillance glasses embed facial-recognition code that converts seen faces into 2,048-number faceprints and matches them against a stored database; the code is confirmed via static analysis, raising privacy concerns about turning wearers into a distributed surveillance network. Meta previously paid $650 million in a BIPA case over mass facial recognition, and internal documents suggest plans to deploy the feature in politically charged environments, though a public rollout remains unannounced.