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Ontario police service using AI in hiring, training 911 call takers

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Cite

Digital, G. (2026, October 9). Ontario police service using AI in hiring, training 911 call takers. Global News. https://globalnews.ca/news/12097761/halton-police-911-ai/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Global News · collected 2026-10-09 · by Globalnews Digital

Quick Summary

Halton regional police in Ontario are implementing AI technology provided by GovWorx to improve hiring and training for 911 call takers and dispatchers. The system creates emergency call simulations to assess candidates' abilities before they join the force, aiming to address staffing shortages by ensuring new hires can succeed through rigorous training that typically takes about a year. This initiative is said to cut candidate evaluation time in half and already shows success in reducing 911 wait times.
Written by AI on 2026-10-09, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Halton regional police in Ontario, Canada, are utilizing artificial intelligence (AI) provided by GovWorx, an American firm, for hiring and training 911 call takers. The AI technology creates emergency call simulations that assess candidates' decision-making, communication, and crisis management skills before they start their training. This approach aims to address the force's staffing challenges, as some hires struggle during the year-long training period. Since its implementation, the AI has handled 95,367 calls, engaged in 1,195 hours of conversation with residents, and sent out over 2,470 text messages for various assistance purposes. Additionally, the technology is being used to evaluate 911 communicators' performance after hiring.

Written for “AI In Police Training Hiring” on 2026-11-02, grounded in this article and the 0 other(s) covering the same event.

Story

📰 AI In Police Training Hiring
Technology · 1 article(s) covering the same event.

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Claims extracted
17
sentences that state something as happening or true
Uncertain
0%
0 of 17 hedged ("reportedly", "may", "according to")
Leaning
not political
takes no side on a contested political question
Publisher signals
63/100
Global News'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 2026-10-09 · how these are computed

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Global News · 2635 article(s) · 11 correction(s) detected
Running correction rate · 11 correction(s)

Who wrote this

Globalnews Digital
704 article(s) here · 1 carrying a prediction
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Topics

911 American Canadian Halton Ontario

Subjects

Halton GPE · 5× Dodd PERSON · 3× Canadian NORP · 2× American NORP · 1× Brian Dodd PERSON · 1× Ontario GPE · 1× U.S. GPE · 1×

Narrative

Police say the bot has answered 95,367 calls so far this year, spent 1,195 hours talking to residents and sent more than 2,470 text messages to people to help them report incidents elsewhere, such as through the collision reporting centre.
framing: assertive · carried by 1 article(s) · first seen 2026-10-09
🔮 Dodd said police are also using the same AI in 911 communicator training and it will be used to evaluate their work after they are hired.
2026-10-09 · Global News
Ontario police service using AI in hiring, training 911 call takers · assertive framing

Claims (17 extracted, 0 hedged)

Halton regional police in Ontario are using artificial intelligence in the recruitment and training of 911 call takers and dispatchers. asserted
police → use → takers
The force said American AI firm GovWorx provides the technology to create emergency call simulations to help 911 applicants improve their decision-making, communication and crisis management skills. asserted
applicants → say → skills
Halton police 911 communications bureau manager Brian Dodd said the new technology helps the force identify the right candidates from the beginning of the hiring process. asserted
force → say → process
He said the department has been facing a staffing crisis because not all candidates applying for 911 jobs succeed in their training after they are hired. asserted
they → say → training
“The training takes quite a long time, takes close to a year,” he said in an interview. asserted
he → take → interview
“What we’re trying to (do) at the very beginning stage in recruiting, is to find the right candidates … and this software helps us do that through some testing and using AI scenarios.” asserted
us → try → scenarios
Dodd said police are also using the same AI in 911 communicator training and it will be used to evaluate their work after they are hired. asserted
they → say → work
Get breaking National news “We are proud to be the first Canadian customer and the first Canadian agency to be using this type of technology,” he said. asserted
he → get → technology
Halton police said the use of AI in the hiring of 911 dispatchers reduces candidate evaluation time by 50 per cent. asserted
use → say → cent
“This technology is used successfully in hundreds of communication centres in the U.S.” Dodd said. asserted
Dodd → use → U.S.
“We’ve been working with them and speaking to them about the success.” asserted
We → work → success
He said the Halton police service currently has 75 dispatchers and call takers and is aiming to hire between four and eight new ones this year. asserted
service → say → ones
Halton police started using another technology called SARA AI to take certain types of non-emergency phone calls. asserted
police → start → calls
They said the SARA AI reduced 911 wait time by almost two seconds a call. asserted
AI → say → seconds
“There is a standard in North America, that we can proudly say that we meet, which is that 90 per cent of all 911 calls are answered within 15 seconds,” Dodd said. asserted
Dodd → be → seconds
“Obviously, if we can do better than that … that’s what we strive to do.” asserted
we → do → what
Police say the bot has answered 95,367 calls so far this year, spent 1,195 hours talking to residents and sent more than 2,470 text messages to people to help them report incidents elsewhere, such as through the collision reporting centre. asserted
them → say → centre
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