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Summary
The District of Columbia proposes implementing an AI-enabled Computer-Aided
Dispatch (CAD) system to address critical deficiencies in our current emergency
alert infrastructure. This policy establishes a framework for deploying advanced
speech recognition, automated translation, and intelligent alert distribution capabil-
ities across all emergency response systems. The proposed system will standardize
incident reporting, eliminate jurisdictional barriers, and ensure equitable access
to emergency information for all District residents. Implementation will occur
over 24 months, requiring 9.2 million dollars in funding, with projected outcomes
including forty percent community engagement and seventy-five percent reduction
in misinformation incidents.
Cite this work:
@misc {
title={
Modernizing DC’s Emergency Communications
},
author={
Thane Douglass, Anuoluwapo Soneye
},
date={
11/26/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}