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Title	Gauging Carbon Footprint Of Ai/Ml Implementations In Smart Cities: Methods And Challenges
ID_Doc	27731
Authors	Rajkumar P.V.
Year	2022
Published	2022 7th International Conference on Fog and Mobile Edge Computing, FMEC 2022
DOI	http://dx.doi.org/10.1109/FMEC57183.2022.10062634
Abstract	A smart city aspires to enhance quality of life, optimize city operations, and promote economic growth with the use of AI/ML techniques. However, the AI/ML techniques themselves often produce carbon emission due to their high demand for computations during their training. Environmentally sustainable Smart Cities require systematic measure of its carbon footprint and approaches to reduce carbon emission from cities backbone edge networks and cloud data centers. This work studies the methods and challenges in gauging the carbon footprint produced by the AI/ML implementations in smart cities.
Author Keywords	Artificial Intelligence; Carbon Footprint; Machine Learning; Model Training; Planning; Smart City

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