Context: The emergence of Artificial Intelligence (AI)-powered wearables such as smart glasses, AI pins and voice-recording devices is being promoted as a possible successor to smartphones.
- However, their ability to continuously see, hear and interpret the surrounding environment has raised concerns about privacy, consent and surveillance.
- Privacy concerns could significantly influence the adoption of this emerging technology.
Rise of AI-Powered Wearables
- Technology companies are experimenting with multiple form factors, including smart glasses, pins, pendants and voice recorders that magnetically attach to smartphones.
- Smart glasses have attracted particular attention because they combine familiar eyewear designs with AI capabilities.
- Some companies are reportedly finding faster adoption among businesses than individual consumers, partly because of the different privacy and use-case considerations.
- The emerging market is strategically important because technology companies view it as a potential next major computing platform beyond smartphones.
Meta’s Smart Glasses and Privacy Concerns
- Meta’s Ray-Ban smart glasses, developed in partnership with EssilorLuxottica, have become a major focus of the privacy debate.
- Their cameras and microphones enable users to capture and process information from their surroundings, raising concerns about covert recording and the absence of consent from bystanders.
- Several venues in the United Kingdom, including the pub chain Wetherspoon, have restricted their use because of recording concerns.
- Media reports indicated that Meta was expected to unveil camera-free smart glasses, reflecting the industry's attempt to address privacy concerns while retaining AI functionality.
The Core Privacy Dilemma
- AI wearables become more useful when they have access to greater amounts of information about the user's surroundings, conversations and activities.
- However, this information may include images, voices or other data belonging to people who have never consented to being recorded.
- Unlike conventional smartphones, wearable devices can operate more discreetly and continuously, making it harder for bystanders to know when they are being recorded.
- This creates a tension between frictionless AI assistance and the privacy expectations of individuals in shared spaces.
Smart Glasses and Alleged Covert Recordings
- A lawsuit involving Meta and Luxottica of America alleges that recordings captured through smart glasses were uploaded to Meta's servers and subsequently viewed and labelled by human annotators for AI training.
- The allegations reportedly include recordings involving people changing clothes, using bathrooms and handling financial information.
- The plaintiffs argue that individuals recorded in such circumstances were often unaware that they were being filmed.
- Meta disputes the allegations and has stated that its glasses have a recording indicator light that cannot be switched off, while covering or tampering with the light disables the camera.
- Meta has also stated that reviewing user data for product improvement is an industry practice and that it filters identifying information.
- The allegations and responses remain matters of dispute rather than established findings.
Samsung’s Approach
- Samsung plans to enter the smart-glasses market through partnerships with Gentle Monster and Warby Parker.
- Samsung has indicated that it does not consider smart glasses to be direct replacements for smartphones.
- Its stated approach emphasises making interaction with technology natural, useful and trusted, while keeping users in control of AI systems.
OpenAI’s Local-Processing Approach
- OpenAI CEO Sam Altman has advocated for AI devices capable of continuously understanding a user's surroundings while determining when assistance is appropriate.
- He has argued that such devices would eventually need greater local processing rather than continuously sending sensitive information to cloud servers.
- Local AI processing (edge AI) means processing data directly on the device instead of transmitting all information to remote data centres.
- This can potentially reduce exposure of sensitive data during transmission and limit dependence on cloud-based processing.
- However, achieving sophisticated AI processing entirely or predominantly on-device requires advances in processors, energy efficiency and device capabilities.
- Altman has indicated that widespread local processing for such applications could take several years, depending on processor-scaling capabilities.
Privacy by Design
- Privacy by design means incorporating privacy and data-protection safeguards into a technology from the beginning rather than treating privacy as an afterthought.
- For AI wearables, this could involve camera-free designs, visible recording indicators, on-device processing, minimal data collection, encryption and user-controlled data deletion.
- Such measures can help balance technological functionality with individual privacy.
Industry Response
- Privacy concerns are encouraging some companies to develop camera-free smart glasses.
- Shenzhen-based startup Even Realities, founded by former Apple engineer Will Wang, introduced its camera-free G1 glasses in 2024.
- Its G2 flagship model was launched in November 2025.
- Camera-free designs attempt to retain AI-assisted functionality while reducing concerns surrounding continuous visual recording.
Challenges for AI Wearables
- Consent: Bystanders may be recorded without knowing that an AI-enabled device is active.
- Data security: Continuous collection creates large volumes of potentially sensitive personal and environmental data.
- Transparency: Users may not fully understand what data is collected, where it is processed and how long it is retained.
- Cloud dependence: Sending continuous streams of audio or visual information to remote servers can increase privacy and cybersecurity risks.
- Social acceptance: Restrictions by public venues demonstrate the possibility of conflict between individual device use and collective expectations of privacy.
Way Forward
- AI wearable manufacturers should adopt privacy-by-design principles, including clear recording indicators and meaningful user controls.
- Greater use of on-device processing can reduce unnecessary transmission of sensitive information to cloud servers.
- Companies should practise data minimisation, collecting and retaining only information necessary for the stated purpose.
- Clear rules are needed regarding bystander consent, data retention, AI training and third-party access.
- Independent audits, transparent privacy policies and effective grievance mechanisms can strengthen public confidence.
Conclusion: The success of AI wearables will depend not only on their technological capabilities but also on whether they can establish trust, meaningful consent and effective control over personal data. Privacy protection will therefore be an integral part of the technology’s social acceptance.
