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Better Hope You Don't Need an Ambulance in New Orleans, Because the City's 911 Operators Are Now AI
Can't-miss innovations from the bleeding edge of science and tech If you thought AI customer service bots were bad, just wait until you need to convince a large language model that yes, you have been involved in a car accident, actually. According to new reporting by the Shreveport Times, officials at the Orleans Parish Communication District -- the emergency dispatch agency for the city of New Orleans -- are now integrating AI answering agents into its workflow. The new tool is called AI Emergency Call Triage, offered by a company called Carbyne. Its function is essentially to triage incoming calls to dispatchers, bumping high-priority emergency calls to humans, and automatically handling repeat calls related to ongoing incidents, the Times explains. Starting in April, New Orleans experimented with implementing the AI for 311 calls, a phone line meant to connect callers to local government information and non-emergency services. That the AI will now be sorting incoming emergency calls is a significant escalation for the city's dispatch agency. New Orleans will now join other major cities including Seattle and Atlanta, which have also implemented AI into their emergency dispatch services in recent weeks. Though officials claim the new tech will help cut through the hundreds of calls inundating human dispatchers, it nonetheless represents an added layer of friction between callers in distress and trained dispatchers who can connect them with help. It's also worth noting that AI voice chat remains highly flawed even when powered by frontier AI models, with plenty of opportunities for errors both in how they process information, and how they dish it out. A February study by the media software company NewsGuard found that in voice mode, AI bots like ChatGPT and Gemini produced false claims with realistic audio up to 50 percent of the time. Emergency calls to 911, needless to say, are often extremely chaotic. Meanwhile, AI voice systems are also persistently vulnerable to outside attacks, with cybersecurity researchers successfully manipulating voice model's behavior with an average success rate between 79 and 96 percent. What all of that means for situations where connecting with a human dispatcher could mean the difference between life and death remains to be seen -- but if other AI voice experiments are any indication, it won't be good. More on first responders: Emergency Responders Say They're Now Unpaid "Roadside Assistance" for Confused Waymos
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AI Is Already Answering Some of Your 911 Calls
AI has worked its way into daily life since ChatGPT made it a household name in 2022. It writes emails, edits photos, and recommends what to watch next. Now add another place it's been quietly operating: the 911 call center in New Orleans. Orleans Parish officials confirmed this week that artificial intelligence has been handling a slice of the city's 911 calls. What the AI actually does The AI only handles a narrow type of call. It kicks in when someone dials 911 near a car accident that's already been logged in the city's dispatch system, specifically within 200 meters. If the AI confirms the caller is reporting that same accident, it tells them help is already on the way. It then asks them to stay on the line only if they were involved or have new details. Everyone else can hang up. Orleans Parish Communications District director Karl Fasold says the tool exists for a simple reason. Rush-hour pileups used to flood the phone lines with dozens of calls about the exact same crash. That pushed more urgent emergencies further back in line. According to the district, the AI now handles 15 to 18 out of every 20 of those repeat crash calls. Officials are clear that violent crimes and life-threatening emergencies never go to the AI. For those particular calls, a human will always be the first voice you hear. Why some experts want more guardrails Not everyone is fully comfortable with the setup. Tulane University professors who study AI in public services point out something important. There's currently no city or national policy that specifically governs how AI gets used in emergency response. Callers also aren't explicitly told they're speaking to a machine. One of those professors, Rob Lalka, states it quite plainly. Get it wrong even once, he said, and someone's life could be on the line. New Orleans is also getting ready to bring a similar AI tool to its non-emergency 311 line.
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New Orleans has become one of the first major U.S. cities to deploy AI for handling 911 calls through Carbyne's emergency call triage system. While officials claim it reduces call volume from repeat callers, experts warn about AI voice system flaws and the absence of regulatory guardrails for life-or-death emergency scenarios.
New Orleans has integrated AI answering 911 calls into its emergency response infrastructure, joining cities like Seattle and Atlanta in deploying artificial intelligence within public safety operations
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. The Orleans Parish Communication District confirmed that Carbyne's AI Emergency Call Triage system now handles specific types of incoming calls, primarily focusing on repeat reports about the same incident. The system activates when someone dials 911 within 200 meters of a car accident already logged in the dispatch system, informing callers that help is on the way and asking them to stay on the line only if they were directly involved or have new information2
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Source: Phandroid
Orleans Parish Communications District director Karl Fasold explained that the tool addresses a persistent problem where rush-hour pileups generated dozens of calls about identical crashes, pushing more urgent emergencies further back in the queue. The AI in public safety deployment now handles 15 to 18 out of every 20 repeat crash calls, significantly reducing the burden on human dispatchers
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. Before handling emergency calls, New Orleans experimented with the technology starting in April for 311 calls, a non-emergency line connecting callers to local government information and services1
. Officials emphasize that violent crimes and life-threatening emergencies never route to the AI system—human dispatchers always handle these calls first2
.Despite claims that the technology will prioritize high-priority emergencies more effectively, the deployment introduces serious questions about reliability in life-or-death emergency scenarios. AI voice chat remains deeply flawed even when powered by frontier models. A February study by NewsGuard found that in voice mode, AI bots like ChatGPT and Gemini produced false claims with realistic audio up to 50 percent of the time
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. These error rates become especially concerning when 911 calls are often chaotic and require nuanced human judgment. Cybersecurity researchers have also demonstrated persistent vulnerabilities, successfully manipulating voice models with success rates between 79 and 96 percent, exposing public safety infrastructure to potential cyberattacks1
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Tulane University professors studying AI in public services have identified a troubling gap in oversight. Currently, no city or national policy specifically governs how AI gets used in emergency response systems
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. Equally concerning is the lack of caller awareness—people dialing 911 aren't explicitly informed they're speaking to a machine rather than a human dispatcher. Professor Rob Lalka emphasized the stakes plainly: get it wrong even once, and someone's life could be on the line2
. The system adds an additional layer of friction between callers in distress and trained dispatchers who can connect them with help1
.The deployment in New Orleans signals a broader trend as cities grapple with managing non-urgent 911 calls while ensuring rapid response to genuine emergencies. The 311 call experiment that preceded this rollout will likely expand, with similar AI tools planned for the city's non-emergency line
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. However, the absence of established guardrails for AI in emergency dispatch raises questions about accountability when systems fail. As more cities adopt these technologies, watch for potential regulatory responses at state and federal levels, particularly after any high-profile incidents involving AI mishandling emergency calls. The tension between reducing call volume for human dispatchers and maintaining reliable access to help in critical moments will define how emergency services evolve in the coming years.Summarized by
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