How do you think businesses should balance the benefits of AI glasses, particularly with productivity, with employee and customer concerns?
Please provide two peer responses each roughly 250 words. If using AI to craft responses, please annotate usage as APUS is docking 20 points if flagged by Copyleaks for AI usage.
Grading Rubric attached.
Original Prompt:
Like all things AI, wearable technology is a fast-track technology, boosted by the COVID pandemic. Likely you have used it. You probably have a smart phone in your pocket.
DISCUSSION PROMPT:
Share a wearable AI technology that is being used in business today. What are your thoughts about its usefulness and future applications?
Please see the Week 5 Lesson and Week 5 readings for ideas. In your Discussion with classmates, probe opinions with questions, especially about practical applications and business’ future.
Peer One Post
This week’s discussion post was interesting because I have been wearing smart devices for some time and recently looked into purchasing a set of AI glasses. So, I of course decided to discuss the use of these devices in the workspace.
As I stated one of the AI technologies that is currently being used in the workplace is the Ray-Ban Meta Smart Glasses. These smart glasses couple traditional eyewear with AI technology in addition to cameras, microphones, and speakers (Meta, 2024). Newer generations have also been able to integrate the use of voice-command capabilities. With these glasses users are able to interact with Meta AI using natural language rhythms, this allows users to ask questions, receive feedback, take photos or videos, and translate languages all hands-free.
In business, Ray-Ban Meta Smart Glasses can improve productivity by providing instant access to a slew of information all without employees needing to use their phones or computers. For example, field technicians can have access to instructions for a particular problem, while retail employees can quickly assist customers by having product information on hand without returning to the counter. This technology can be highly useful because it allows workers to remain engaged with their tasks while also being provided with on demand assistance.
However, despite these positive uses there is an ever-increasing privacy and security concerns in regard to integrating AI. Because smart glasses are able to capture audio and video clips, organizations will need to implement clear policies governing data collection.
How do you think businesses should balance the benefits of AI glasses, particularly with productivity, with employee and customer concerns? Do any of you work somewhere you think could benefit from using such technology and what would the benefits and draw backs be?
Bhattacharyya, P., Mitton, J., Page, R., Morgan, O., Menzies, B., Jacobs, K., Baesso, P., Trickett, D., Mair, C., Muhonen, T., Clark, R., Berridge, L., Vigars, R., & Wallace, I. (2024). Helios: An extremely low power event-based gesture recognition for always-on smart eyewear. arXiv. https://arxiv.org/abs/2407.05206
Meta. (2024). New Ray-Ban Meta smart glasses styles and Meta AI updates. Meta Newsroom. https://about.fb.com/news/2024/04/new-ray-ban-meta-smart-glasses-styles-and-meta-ai-updates/
Peer Two Post
One wearable AI technology being used in business today is powered safety wearables for transportation, logistics, and manufacturing workers. These can include smart wristbands, sensor clips, smart helmets, or wearable fatigue monitors that track things like body temperature, heart rate, motion, posture, and signs of fatigue. What makes them valuable is not just the device itself, but the AI behind it. The system can analyze patterns and alert the worker or supervisor before a safety issue turns into an accident.
I think this technology makes a lot of sense in industries where one tired or distracted worker can create major risk. In logistics, for example, fatigue monitoring could help truck drivers, forklift operators, or warehouse workers recognize when they are becoming less alert. The Texas Department of Insurance notes that fatigue monitoring systems combine wearable devices with AI algorithms to detect drowsiness or exhaustion and can be useful in trucking, heavy machinery, and night shift work (Texas Department of Insurance, 2025). That is a practical business use because safety problems do not just hurt employees; they also create downtime, workers’ compensation claims, damaged equipment, and delivery delays.
The future application could be even stronger if companies connect wearable safety data to training, scheduling, and risk prevention. For example, if AI detects that heat stress or fatigue is common during certain shifts, managers could adjust break schedules or staffing levels. The concern is privacy. Employers need to be careful that wearable data is used for safety, not unfair discipline or constant surveillance. The EEOC has warned that wearable data can raise discrimination concerns if employers misuse biometric or health-related information (Reuters, 2024). In conclusion, wearable AI can be useful, but only if businesses balance safety benefits with employee trust.
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