Certain systems powered by AI in smart cities may be expensive to incorporate or may need to comply with several regulations before implementation, making them'high-risk' AI applications. Using such risk criteria, here are some of the low-risk AI application areas for smart cities. Smart cities around the world are littered with advanced and interconnected technologies. The high level of automation and data flow allows such cities to optimize various public operations such as waste disposal and traffic regulation effectively. While the concept is still fairly new, several countries, like the US (New York, Santa Cruz), England (London, Manchester), and Spain (Madrid, Barcelona), include multiple highly automated and digitally interconnected cities today. Additionally, the smart city industry is expected to grow rapidly in the coming years due to its popularity and effectiveness in delivering the results expected from it.

Umbo CV Inc. makes artificially intelligent security cameras that the company says detect unusual activity human security guards might miss. It picked up 2.8 million in seed funding led by AppWorks Ventures, Mesh Ventures, Wistron and Phison Electronics. The company plans to launch its first product in early April at the ISC West Show in Las Vegas. Umbo Chief Executive Shawn Guan said the company has applied a form of artificial intelligence known as deep learning to security camera footage. The more footage the Umbo camera has, the more it learns and is able to accurately detect suspicious activity.