可穿戴人工智能的前景：应急响应中的机遇

ALEX AMBROSE|APRIL 2026 Wearable AI improves safety and outcomes for both first responders and the public they serve.Broader adoption of wearable AI for the emergency services industry will protect the health offirst responders, improve emergency response, and create safer communities. KEY TAKEAWAYS Wearable AI combines AI technology with physical products such as eyeglasses, rings,watches, and helmets to give users hands-free access to AI’s information processing anddecision-making abilities. Wearable AI enables first responders, including law enforcement, firefighters, andemergency medical technicians, to make faster, more informed decisions without thedistraction of screens. Wearables track vital signs, detect hazards, support coordination, and enhanceaccountability across the emergency services sector. Proper safeguards can ensure that wearable AI enhances emergency response withoutcompromising the safety, privacy, or integrity of users or the public. To ensure that wearable AI is fully implemented across the emergency servicesecosystem, Congress and state and local governments have a role in funding, researching,and scaling the technologies. CONTENTS Key Takeaways................................................................................................................... 1Introduction....................................................................................................................... 2Methodology ...................................................................................................................... 3Background ....................................................................................................................... 3What Is Wearable AI? ...................................................................................................... 3Wearable AI for Emergency Services ................................................................................. 4Findings ............................................................................................................................ 5Law Enforcement ............................................................................................................ 5Firefighters..................................................................................................................... 6Emergency Medical Technicians and Emergency Health Care .............................................. 7Additional Emergency Services......................................................................................... 8Industry-Specific Barriers and Risks..................................................................................... 9Barriers.......................................................................................................................... 9Risks ........................................................................................................................... 11Policy Recommendations .................................................................................................. 12Increase Research Funding for Wearable AI in Emergency Services.................................... 12Increase Funding for Emergency Services’ Training to Include Wearable AI......................... 12Ensure Strong Data Safety and Security Practices ............................................................ 13Encourage Interoperability Across Emergency Services Departments .................................. 13Conclusion ...................................................................................................................... 14Endnotes......................................................................................................................... 15 INTRODUCTION Artificial intelligence (AI) adoption has accelerated rapidly in recent years, most visibly throughconsumer-facing applications such as chatbots and such generative AI systems as ChatGPT,Gemini, and Claude. These technologies are reshaping how people work, communicate, andaccess information. Less visible but equally consequential is the emergence of wearable AI,which trains on spatial data—including depth, motion, object recognition, and environmentalmapping—to interact with the physical world in real time. This shift raises new questions aboutthe boundaries between human experience and digital augmentation, when wearable technologywill inform the next phase of the Internet and the novel ways humans interact with technology.Companies such as Meta, Google, Amazon, and Samsung are betting big that wearables willusher in this new era.1 Wearable AI includes devices such as smart glasses, rings, and watches that collect and processreal-time data about the wearer and their environment to make predictions and give insights to enhance safety, productivity, and health.2Wearables may be equipped with sensors to measureheart rate, glucose levels, caloric intake, and sleep to allow users to track health marker