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AI hoaxes are deceiving 911 dispatchers, and they're only getting harder to detect

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Cite

Diaz, J. (2026, November 11). AI hoaxes are deceiving 911 dispatchers, and they're only getting harder to detect. NPR. https://www.npr.org/2026/11/11/nx-s1-6034449/ai-911-calls-swatting

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NPR · collected 2026-11-11 · by Jaclyn Diaz

Quick Summary

AI-generated voices are complicating efforts to combat swatting calls, which are prank emergencies reported to 911 dispatchers with the intent of triggering large-scale police responses. In August, a hoax bomb threat was made at Wheatland Union High School in California using an AI voice, showcasing how these tools make such calls harder to detect. According to APCO International and NENA: The 9-1-1 Association, about 14% of dispatchers have already encountered AI-assisted swatting, a figure expected to rise with advancing technology.
Written by AI on 2026-11-11, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Why this leaning score
This article does not take a side on a contested political question, so it has no leaning score. That is an answer rather than a gap: a match report or a rescue can be warmly or critically written without being left or right, and scoring it anyway is how approval of a subject gets recorded as a political position.
No political leaning scored for article 144431 · logged 2026-11-11

Story

AI Hoaxes Deceiving Dispatchers
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads unscored and hedges 12% of its claims. Each row says how that neighbour differs.
Evening Standard
Hedges 0 of 25 claims Outlet record 64/100
“The articles describe different incidents involving hoaxes in California (USA) and the UK.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
43
sentences that state something as happening or true
Uncertain
12%
5 of 43 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
60/100
NPR's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-11-11 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

NPR · 1210 article(s) · 3 correction(s) detected
Running correction rate · 3 correction(s)

Who wrote this

Jaclyn Diaz
5 article(s) here · 1 carrying a prediction
They can use words like, 'uh', or 'maybe, um, let me think about it.'
The decision, in an emergency appeal, maintains a lower court's injunction on a federal Bureau of Prisons' policy that would terminate hormone therapy and other treatments for trans inmates.
She will also examine the school's policies related to how it "prevents and responds to sexual harassment, sexual assault and related misconduct on campus," the school announced Tuesday.
Van Houten said in Monday's statement that in the 2024 statement taken by Cornell University police Doe "did not allege that she was drugged against her will or gang raped.
And Gun Owners of America said, some states may still require additional rules and firearm registration forms may still be required under the federal Gun Control Act.
Also by Jaclyn Diaz
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

911 APCO ElevenLabs Wheatland Union High School Yuba County

Subjects

APCO ORG · 3× NENA ORG · 3× Yuba County GPE · 3× 911 ORG · 2× ElevenLabs ORG · 2× Maier PERSON · 2× May PERSON · 2× FBI ORG · 1× Mel Maier PERSON · 1× Wheatland Union High School ORG · 1×

Narrative

APCO is working to create training criteria on caller interrogations where the dispatcher asks the caller specific questions at "such granular level that an AI cannot scoop that information from a public database, cannot capture it from a social media post, or simply make guesses," he says.
framing: assertive · carried by 1 article(s) · first seen 2026-11-11
They can use words like, 'uh', or 'maybe, um, let me think about it.'

Claims (43 extracted, 5 hedged)

AI hoaxes are deceiving 911 dispatchers, and they're only getting harder to detect In August, a caller made a bomb threat to Wheatland Union High School in Yuba County, Calif. Police responded overnight and classes were canceled. asserted
classes → deceive → County
There was no bomb and no one was hurt. Authorities said it was part of a series of hoax calls — also called swatting — made to schools across the country over the summer. asserted
it → be → summer
Swatting calls can be made to 911 or police departments, with callers reporting a bomb threat, mass shooting or some other kind of life-threatening emergency with the intention of initiating a massive emergency response, according to the FBI. 911 dispatchers have long dealt with this problem. uncertain
dispatchers → swat → problem
But the incident in Yuba County was different: The call was made by an AI-generated voice, a new and growing challenge for emergency responders. asserted
call → make → responders
"Those voices [of swatting callers] used to be pretty easy to recognize, but now they're natural sounding. asserted
they → swat → callers
They can insert pauses. asserted
They → insert → pauses
They can use words like, 'uh', or 'maybe, um, let me think about it.' asserted
me → use → it
And it sounds very natural," says Mel Maier, the CEO and executive director of APCO International, the Association of Public Safety Communication Officials. asserted
Maier → sound → Officials
The goal of swatting calls is to harass or retaliate against the targets of the calls — like a public official. asserted
goal → swat → official
They usually trigger a big, chaotic response from police, redirecting public safety resources from real emergencies. asserted
They → trigger → emergencies
People also have been killed and injured in swatting attacks, Maier notes. asserted
Maier → kill → attacks
Swatting calls made by people using AI-generated voices or background sounds are making these hoax calls sound even more realistic, and harder to determine what's real and what isn't. asserted
what → swat → voices
The 9-1-1 Association, which both represent 911 dispatchers, say incidents like the one in Yuba County reflect their growing worries over how AI could be used by bad actors. uncertain
AI → represent → actors
APCO and the Public Safety Threat Alliance, an information-sharing and cybersecurity group, looked into the prevalence of swatting to 911 call centers. asserted
APCO → look → centers
They published their findings in June based on 766 responses from public safety communications professionals. asserted
They → publish → professionals
About 14% of dispatchers said they were targeted using AI tools. asserted
they → say → tools
Maier says he thinks that number is going to keep going up with increasingly advanced tools Signs of a swatting call Companies like ElevenLabs, an artificial intelligence company creating synthetic voice software, offer AI tools that are incredibly cheap and readily available, according to Brandon May, an assistant professor of forensic psychology at the Florida Institute of Technology. uncertain
that → say → Technology
"I'm able to clone my voice on ElevenLabs for less than $20, and I can change the intonations. asserted
I → clone → intonations
I can change how deep or high-pitch my voice is. asserted
voice → change → ?
I can change the pauses," he says. asserted
he → change → pauses
And this makes it hard for anyone to detect these AI fakes. asserted
anyone → make → fakes
"It is no longer simple to just look at an image or hear a video or hear a voice and go, 'That is AI.' asserted
That → look → voice
People are duped by this all the time," he says. asserted
he → dupe → this
Elaborate fraud callers using AI chatbots are even tricking people into handing over their life savings, May says. uncertain
May → use → savings
And the increasing sophistication of these fake voices and sound effects makes it especially difficult for emergency dispatchers to deduce what is real or not during what May calls "high-stakes, high-consequence" calls. uncertain
May → increase → what
"It is going to be nearly impossible to detect," he says. asserted
he → go → ?
Despite the difficulty, APCO and NENA are developing ways to train their members to deal with these new threats. asserted
APCO → develop → threats
April Heinze, NENA's vice president and chief of 911 operations, says there are some hallmarks of a swatting call. asserted
Heinze → say → call
For example, most swatters do not dial 911 directly. asserted
swatters → dial → 911
"The reason being is 911 provides location. asserted
911 → provide → location
It provides a callback number. asserted
It → provide → number
It provides the name of the person who owns the phone. asserted
who → provide → phone
It provides a lot of extra data, and it's really impossible to spoof your location on 911," she says. asserted
she → provide → 911
Swatting calls are usually made to police departments or courthouses, Heinze explains. asserted
Heinze → swat → departments
These callers are then ultimately transferred into the 911 centers. asserted
callers → transfer → centers
So trying to trace those calls is impossible, she says. asserted
she → try → calls
Training evolves to address new AI threat Both Heinze and Maier decline to describe the specifics of training to identify potential AI swatting calls. asserted
Heinze → evolve → calls
The more information available, they say, the easier it will be to train AI to fool dispatchers going forward. asserted
it → say → dispatchers
Maier does note one idea for training. asserted
Maier → note → training
APCO is working to create training criteria on caller interrogations where the dispatcher asks the caller specific questions at "such granular level that an AI cannot scoop that information from a public database, cannot capture it from a social media post, or simply make guesses," he says. asserted
he → work → guesses
…and 3 more, not listed.
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