AI systems play a crucial role in the development of smart cities, yet their reliability is a significant concern due to potential error propagation.
The study published on March 20, 2026, in ArXiv AI emphasizes the need for computationally efficient learning methodologies to enhance reliability.
By addressing error propagation, the research aims to improve the overall performance and trustworthiness of AI systems deployed in urban environments.