AI-enabled wearables are moving rapidly from niche devices to everyday tools. Smart glasses, body-worn cameras and voice-enabled devices can record, transcribe, analyse and share information in real time, often without being obvious to those around them.
Many organisations are beginning to assess the risks associated with employee use of these technologies. However, a growing challenge receives far less attention: visitors, customers, contractors, patients and other third parties may also bring AI-enabled devices into workplaces and operational environments.
Traditionally, organisations could manage risk by controlling the technology used within their environments. AI-enabled wearables challenge this assumption. Increasingly, the devices creating risk may not belong to the organisation, may not be visible and may operate beyond its technical controls.
This creates new questions around confidentiality, privacy, cyber security, workforce wellbeing and regulatory compliance. To help you prepare, it's worth considering how AI-enabled wearables could affect the environments in which your people work and interact with others.
Why AI wearables present a different challenge
Many organisations already manage risks associated with smartphones and personal devices. AI-enabled wearables introduce additional considerations because they can operate continuously, more discreetly and with greater analytical capability.
Depending on the device, information may be recorded, transcribed, live-streamed or analysed in real time. Conversations, computer screens, confidential documents, operational discussions and sensitive personal information may all be captured, often without those nearby being fully aware.
Some devices may also connect directly to consumer artificial intelligence platforms or cloud-based services, creating uncertainty around how information is processed, stored or reused. As adoption increases, organisations may find it harder to identify when recording or analysis is taking place and what happens to information once it leaves their environment.
What risks should organisations consider?
Wearable devices may capture sensitive conversations, personal data or commercially sensitive information without the knowledge of those involved. This can create challenges around confidentiality, consent and compliance with regulatory obligations. However, the risks associated with AI-enabled wearables extend beyond data protection and privacy.
Why the health and social care provides a useful example
Health and social care settings illustrate how quickly these risks can become complex.
Whilst privacy, trust, dignity and disclosure are always central to safe care, the risk of these being undermined/impeded are even greater when working in mental health, dementia, learning disability, maternity, paediatric, safeguarding and end-of-life settings. A perceived recording or surveillance environment may discourage patients from speaking openly, reduce disclosure of symptoms or concerns, compromise safeguarding conversations and affect quality of care, as well as raise questions about consent, confidentiality and psychological safety.
The presence of AI-enabled recording devices can raise questions about consent, confidentiality and psychological safety. Patients, service users, visitors and staff may alter what they say or choose not to disclose important information if they believe conversations are being recorded or analysed.
Although these considerations are particularly visible in health and social care, the same principles apply across many industries. Any organisation handling sensitive information, confidential discussions or personal data may face similar challenges as wearable technologies become more widespread.
How can you build a defensible approach?
Rather than relying solely on frontline employees to manage these situations, organisations should develop clear governance frameworks for AI-enabled wearables. This may include:
- Updating employee, visitor, contractor and customer policies to address AI-enabled wearables explicitly
- Identifying locations where recording, live-streaming or AI-assisted analysis should be restricted
- Reviewing signage and communications so expectations are clear before issues arise
- Providing practical guidance on recognising wearable devices and responding consistently to concerns
- Ensuring incident response, cyber security and information governance processes account for wearable technologies
- Establishing escalation routes and management support for situations where policies are challenged.
Training should also help employees understand privacy obligations, cyber security considerations, consent requirements and the limitations of AI-generated outputs.
AI wearables: What can you do next?
AI-enabled wearables are changing who can capture, analyse and share information in your organisation and when they can do it. Customers, contractors, visitors and members of the public may all introduce risks that sit outside your traditional technology controls.
By reviewing governance, policies and incident response procedures now, you can help ensure innovation strengthens your organisation rather than creating unintended exposures.
To discuss how AI-enabled wearables could affect your organisation's risk profile and governance framework, contact our specialists.
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