There are 3,144 counties and 55 states and territories in the United States, encompassing 19,500 incorporated cities, towns, and villages. Of those, 14,768 have populations below 5,000. Only ten have populations above one million, and none are above 10 million. 310 cities are considered at least medium cities with populations of 100,000 or more.
127 million people, about 40% of the U.S. population, lived in cities with 50,000 or more residents.
There are 574 federally recognized tribal governments and 326 Indian reservations in the United States, and Native Americans have a population of approximately 10M or 2.9% of the total U.S. population.
In addition to state and local governments (SLED), there are 438 federal agencies and subagencies.
We all want the same outcomes: a thriving and safe community, the happiness of our neighbors, and responsible, competent management from our government.
By applying AI to certain problems, governments can lower costs through automation, provide more valuable information to residents, reduce fraud, enhance public safety, and so much more.
To do this, governments must procure off-the-shelf solutions or build custom software. These teams will comprise AI ethicists, policy wonks, product managers, user experience designers, and software engineers.
To understand how federal agencies think about AI, you can dig deeper into this inventory of thousands of use cases aggregated from most agencies.
Kelly Taylor's Blog 