Meta positions its Ray-Ban smart glasses as an innovative product at the intersection of lifestyle and artificial intelligence. Hands-free filming, voice control, and AI-powered features are designed to simplify everyday life.
However, an investigation by the Swedish newspaper Svenska Dagbladet on February 27th paints a different picture. According to the report, the Meta Ray-Ban glasses are associated with significant data privacy issues. Intimate images, sensitive information, and even acts of violence can be captured by the AI and viewed by human employees.
The central question is not whether AI needs training data, but rather how this data is acquired, processed, and controlled.
Smart technology and real-world consequences
Smart glasses are considered the next step in wearable technology. Cameras record images and videos, microphones capture speech, and AI models analyze content and provide answers.
Many see it as a practical extension of the smartphone. At the same time, it creates a permanent recording system that can be used in both private and public spaces. If this technology is not used consciously and in a controlled manner, data privacy risks inevitably arise. The investigation by Svenska Dagbladet shows that these risks are concrete with Meta and are already having real consequences.
Collaboration between Meta and Ray-Ban
The Ray-Ban smart glasses are a collaboration between Meta and Ray-Ban. The product combines classic eyewear optics with an integrated camera and AI functions.
According to research, the captured images are not processed exclusively automatically. Instead, much of the content is reviewed by humans, including so-called AI trainers.
AI training through external service providers
A key component of the system is the collaboration with external subcontractors. In Nairobi, Kenya, the company Sama works on behalf of Meta.
Sama provides staff to analyze and annotate images and videos. Thousands of people mark objects, people, and details on screens to train Meta's AI models and improve their accuracy.
This process is common in the AI industry. Companies worldwide rely on teams of data annotators, often in countries with lower labor costs.
Intimate and sensitive recordings
However, according to anonymous sources close to Sama, the employees do not only see neutral, everyday footage.
A man reported seeing people using the toilet or undressing. He didn't know if they were aware they were being filmed. It was likely they didn't want these recordings to be visible outside their private circle.
Another case described: A man placed his glasses on the nightstand and left the room. Shortly afterward, a woman entered and changed her clothes. The camera continued recording. Furthermore, the videos reviewed contained:
- Credit card details
- sexual acts
- other sensitive personal situations
Some of the recordings may have been made intentionally. However, it is assumed that many situations arose without the knowledge or explicit consent of the people filmed. In all cases, the material is potentially compromising.
Data protection and anonymization
Meta and other companies regularly emphasize that their systems are private and secure. Employees who gain access to content must sign non-disclosure agreements.
According to Meta, particularly sensitive data is not intended for direct training of the AI models. Furthermore, anonymization systems exist to obscure faces.
However, a former Meta employee explained that these systems were not entirely reliable. In certain cases, faces remained visible, partly due to difficult lighting conditions.
Questions about data storage
Reporters asked Meta, among other things, how long voice recordings and video clips are stored. The answer took two months to arrive. Instead of providing specific details, Meta merely explained how data is transferred from the glasses to the mobile app and referred to the company's general AI privacy policy.
Specific information regarding storage duration or the handling of particularly sensitive recordings was not explained in detail.
A recurring trend in the industry
The Meta case is not an isolated incident. Apple already came under criticism in 2019 after it was revealed that Siri audio recordings were being forwarded to third-party providers.
These contractors were supposed to improve the accuracy of the voice assistant. However, the recordings contained private conversations between doctors and patients, as well as drug deals.
Apple was under pressure for years and most recently had to pay millions in settlements in 2025.
Reports indicate that Apple is now working on further wearable AI devices, including an AI PIN, AirPods with infrared cameras, and its own Apple Glass. Whether lessons have been learned from past incidents remains unclear. Apple, at least publicly, emphasizes its commitment to handling user data responsibly.
Meta Ray-Ban: Innovation meets data privacy risk
The research into Meta Ray-Ban reveals how closely technological innovation and data privacy issues are intertwined. Smart glasses continuously transmit image and sound data. This data serves not only direct use but also the training of AI systems. External service providers and human data annotators are employed in this process.
Even with anonymization and non-disclosure agreements, the risk remains that intimate and sensitive content could be viewed by third parties. The discussion surrounding metadata and data protection is therefore part of a larger debate about how to handle personal data in the age of artificial intelligence. (Image: Shutterstock / Frame Craft 8)
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