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3 Low-Risk AI Application Areas For Smart Cities


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.