Zach Levali, CTO of Rapid SOS, discusses how AI is modernizing 911 systems by enhancing situational awareness for telecommunicators, automating language translation, and integrating data from IoT devices like crash detection sensors. The company serves over 5,700 public safety agencies, processing approximately 1 billion emergencies annually, with a focus on bridging siloed municipal systems to improve coordination and response times. Levali emphasizes that AI should augment human decision-making rather than replace it, particularly in high-stakes emergency scenarios where trust and privacy are paramount.
“We're really trying to help modernize the safety industry... taking it from that one phone call in out to responders via radio... to a much richer picture of what is happening in an emergency situation.”
“Trust is the biggest thing. So, uh, 911 is a trusted system. We all trust that 911 will answer when we call. And so, we have to maintain the trust of the community. We have to maintain the trust of the workers.”
“In the 911 situation, you need you're basically giving a bunch of information and you just want to know that that information was received... You want to know when things show up.”
“Harness the wisdom of the team that built the road that everybody's driving on. So don't discount those folks... Bring in other people to find the new plane or to find the new road and then design the road like adding a new lane to a road.”
“Partner every time you can and really understand what your comparative advantage is and only build in that. So for us, it's the connective tissue. It's the the bridging of information.”
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