Published in Artificial Intelligence Review, the study reviews recent advances in Green AI methodologies and introduces the Green AI Urban Framework, or GAUF, a structured conceptual framework for embedding environmentally responsible AI into sustainable urban systems.
The authors state its aim explicitly: to support the design of AI-driven urban systems that balance predictive performance, scalability and environmental responsibility.
By consolidating existing research and outlining future directions, the study positions sustainable AI practice as a core component of next-generation smart and resilient cities, while leaving empirical validation of the framework to future work.
Subject of Research: A green AI framework and survey for environmentally sustainable smart city systems Article Title: Designing sustainable urban intelligence: a green AI framework and survey Article References: Cina, E., AlArnaout, Z., Elbasi, E., & Elmazi, G. (2026).
Designing sustainable urban intelligence: a green AI framework and survey.