Post #4508013
2026-08-08 23:10 UTC
Holy shit, I’m actually surprised how bad the rest of the comments are… And the volume of them!
I’ll try to TL;DR it for the lemmings, with formatting that is (hopefully) easy to understand for even the most rotten of brains.
TL;DR
The problem
Too many people are all calling 911 about the same emergency.
I’ll use this example scenario below: People keep driving past a burning car on a busy road, and many of them call 911. (This will continue to happen until an emergency responder arrives.)
Before implementing this tech
911 operators are all busy answering calls that are all reporting the same car fire
Long 911 hold time for someone with an emergency unrelated to the car fire
After implementing this tech
Bot: "Are you calling about the car fire on Seventh Street?"
If caller answers “yes”:
AI bot tells them that responders have already been dispatched
If caller answers anything other than “yes”:
Transfer to the next available human dispatcher
Greatly reduced hold time thanks to automated triage
If the critical failure point is accurately classifying “yes” or “not yes,” even the dumbest^1 models could handle that – and I doubt they use the dumbest models for 911 triage.
Even if it’s not 100% perfect every time, this still sounds like a net positive.
Replies (1)
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@EncryptKeeper@lemmy.world 2026-08-08 23:48
If caller answers “yes”: AI bot tells them that responders have already >been dispatched So you’re gating whether or not a caller in an emergency gets to speak to a human based on the audio recognition of a robot? Easy enough to make it so that if the bot doesn’t hear a yes or a no clearly it defaults to forwarding the call, but what happens when a person says no and the bot “hears” yes?