{"id":135437,"date":"2026-08-10T21:37:14","date_gmt":"2026-08-10T21:37:14","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/135437\/"},"modified":"2026-08-10T21:37:14","modified_gmt":"2026-08-10T21:37:14","slug":"ai-is-now-answering-some-911-calls-is-that-a-good-idea","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/135437\/","title":{"rendered":"AI is Now Answering Some 911 Calls. Is That a Good Idea?"},"content":{"rendered":"

\u201c911, what is your emergency?\u201d<\/p>\n

It\u2019s a familiar question, but there\u2019s a new twist: turns out that in some cases, a robot might be on the other line.<\/p>\n

In recent days, New Orleans officials made headlines for deploying AI to answer some of the city\u2019s 911 calls, prompting questions about whether having bots handle 911 calls will now be the new normal. The news also sparked debates about what happens (or doesn\u2019t) when a bot answers a call for help.<\/p>\n

It seems that all the buzz started with a provocative headline \u2014 about something that wasn\u2019t exactly news in the first place. On July 29, 2026, the daily newspaper Shreveport Times reported that \u201cNew Orleans will use AI to answer 911 calls instead of a human.\u201d However, the Orleans Parish Communication District issued a statement<\/a> saying that it \u201cis deeply disappointed in the highly inaccurate article\u201d posted by the news agency.<\/p>\n

\"StephenNortheastern professor Stephen Woods knows firsthand that emergency calls aren\u2019t always straightforward. While AI can take pressure off 911 dispatchers, it\u2019s not ready to handle every call. Photo by Matthew Modoono\/Northeastern University<\/p>\n

The triage tool has been used for the last two years \u201conly for a very narrow category of incoming 911 calls\u201d originating \u201cfrom within a 200-meter radius of an already-reported vehicle crash,\u201d the statement read. It only comes into play when dispatchers are busy. And anyone who calls to report another incident \u2014 or one that falls into a category other than traffic \u2014 is routed to a human.<\/p>\n

While the AI dispatch system in New Orleans might be narrow in scope, it does seem that policing in the Big Easy is getting more high-tech. Jesse Vad, communications director of the American Civil Liberties Union of Louisiana<\/a>, a nonprofit, told Northeastern Global News that while the use of AI for 911 isn\u2019t currently on the organization\u2019s radar, they\u2019ve been keeping a close eye on a related trend: the use of police drones.<\/p>\n

If you think all of this might be asking for trouble, you\u2019re not alone. Many have questioned whether outsourcing such a sensitive task to AI bots \u2014 no matter how well-trained \u2014 could be a risky call.<\/p>\n

Northeastern Global News talked to Northeastern University professor Stephen Wood<\/a> about the situation and his thoughts on putting bots on the receiving end of a 911 call. Here\u2019s what he shared.<\/p>\n

Why put bots on the line in the first place \u2014 and what are they actually doing there?<\/p>\n

Right now, AI is only being used in a very specific scenario, Wood confirmed. \u201cIf a call comes in within 20 meters of a crash, it\u2019s already been reported, and all the humans are busy \u2014 the AI takes it,\u201d he said. The distinction is key: the bots aren\u2019t the first on the scene, or even on the phone. They\u2019re stepping in when a public emergency triggers a flood of calls about the same thing.<\/p>\n

Say you drive by a highway pileup. As a Good Samaritan, you might think: \u201cI better call in case no one else has,\u201d Wood explained. And while a human would handle the first of those calls, the next 30 might go to the bots.\u00a0<\/p>\n

\u201cIt\u2019s not replacing, but augmenting what they do,\u201d Wood added, explaining that the system helps keep dispatchers from getting bogged down while more urgent calls \u2014 and lives \u2014 hang on the line.<\/p>\n

Will certain calls always get routed to a human?<\/p>\n

Absolutely \u2014 at least if everything goes as planned, Wood said.<\/p>\n

\u201cI\u2019m having chest pain\u201d is a call that will always go to a human, he explained, adding that the hope is the system will spot the signs of a situation serious enough to warrant human attention.<\/p>\n

Besides, there\u2019s more to the dispatcher\u2019s job than simply picking up the phone, asking what happened and sending a vehicle out, Wood explained.\u00a0<\/p>\n

Calls also don\u2019t fit neatly into a box, and dispatchers have to get information, read between the lines, tease out missing details and sometimes piece together what\u2019s happening from a caller who may not be able \u2014 or willing \u2014 to spell it out. Those are all tasks that belong squarely in the human realm.<\/p>\n

Could this system backfire?<\/p>\n

That\u2019s the worry, Wood said, suggesting that the biggest risk comes with AI mistaking separate incidents for the same one \u2014 a mishap that\u2019s hard enough to avoid without bots in the mix.<\/p>\n

Wood recalled an incident from his years as a MedFlight paramedic. A team was treating a critically injured person on one scene when a call came in from a nearby spot reporting a similar injury. Dispatchers first assumed it was the same incident.<\/p>\n

\u201cBut then someone put two and two together,\u201d Wood explained. With helicopters already circling the scene, why would someone call 20 minutes later?<\/p>\n

Sure enough, it was a different crash.<\/p>\n

\u201cIt\u2019s a nuance AI wouldn\u2019t pick up on,\u201d Wood said.<\/p>\n

Likewise, Mayu Tobin-Miyaji, a law fellow from the Electronic Privacy Information Center<\/a> (EPIC), a nonprofit public interest research center in Washington, D.C., told Northeastern Global News that while AI systems could help triage calls, limits are important.<\/p>\n

\u201cGovernment agencies should ensure that it doesn\u2019t lead to mission creep, such as deploying an AI system to handle 911 calls entirely or broadening surveillance systems, and limit data collection to what is necessary,\u201d she said, suggesting that trouble starts brewing when AI tries to do more than what it\u2019s capable of, or collecting more data than it needs.\u00a0<\/p>\n

What about handling emotions on the other end?<\/p>\n

Missed distress cues are the biggest concern when it comes to outsourcing dispatching tasks to AI, Wood said, adding that it\u2019s especially true in a domestic violence situation.<\/p>\n

It\u2019s common knowledge among first responders that \u201cif you call 911 to order a pizza, that\u2019s a person reporting a domestic violence incident,\u201d he said, adding that if the AI takes it literally and suggests the nearest joint, the results could be disastrous.\u00a0<\/p>\n

The same is true for handling callers with suicidal ideation \u2014 another situation where certain words or phrases might carry meanings that AI could overlook. It could also miss what\u2019s hiding behind the words, such as a fearful whisper or a caller struggling through tears.\u00a0<\/p>\n

And it\u2019s not just emotions, either \u2014 regional dialects can trip up the system, too, he said. For example, he explained that saying \u201cThis patient\u2019s got the sugar\u201d is a common way to signal a diabetes emergency. But would AI pick up on it? It\u2019s doubtful, Wood said.<\/p>\n

All in all, \u201cI just don\u2019t think it\u2019s there yet,\u201d Wood said, referring to AI\u2019s ability to handle more complex dispatching tasks.\u00a0<\/p>\n

Katya Poltorak is a science reporter at Northeastern Global News. Email her at e.poltorak@northeastern.edu.<\/p>\n","protected":false},"excerpt":{"rendered":"\u201c911, what is your emergency?\u201d It\u2019s a familiar question, but there\u2019s a new twist: turns out that in…\n","protected":false},"author":2,"featured_media":135438,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,1428,25,67151,67152],"class_list":["post-135437","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-ai-ethics","tag-artificial-intelligence","tag-emergency-alert-system","tag-emergency-assistance"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/135437","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=135437"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/135437\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/135438"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=135437"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=135437"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=135437"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}