The utopian promise and dystopian potential of real-time detection of police, fire, and medical emergencies

The AI City Challenge was created to solve traffic operations challenges with AI and make smart public transportation systems. One 2020 challenge, for example, focuses on the detection of stalled cars or traffic accidents on the freeway. Roughly 30 teams participated in the inaugural challenge in 2017. This year saw 800 individual researchers on 300 teams from 36 nations; 72 teams ultimately submitted final code.

AI City Challenge has always been an international competition that welcomes teams from around the world. But since its launch, virtually all of the winning teams have been from China and the United States. Teams from the University of Washington and University of Illinois took top honors in 2017. In 2018, a University of Washington team took first place in two of three competitions, with a team from Beijing University in second place. This year, a team from Carnegie Mellon University won a single competition, but teams from Chinese universities and companies like Baidu won three out of four contests, and Chinese teams captured most runner-up spots, as well.