Driving AI-IoT design towards the UN Sustainable Development Goals (SDGs)
Tulone D, Samuel G, Tibuzzi A, Coppola M, Charter M, Gemma P, Henz P, Gonzales R, Chessa S, Catarci T
AI Big data Data analytics Energy consumption Greenhouse gas emissions IoT Rebound effect Renewable energy Sustainable development
Final technical report from the ITU-T Focus Group on Environmental Efficiency for Artificial Intelligence and other Emerging Technologies (FG-AI4EE), discussing the need for integrating and harmonizing environmental, social models and sustainability needs when designing AI-IoT based solutions. The report highlights (I) current barriers hampering the adoption of a comprehensive path that addresses all three needs, (II) the risks stemming from single-path sustainability approaches, and (III) provides suggestions for future work that can foster and promote the adoption of a more comprehensive process of designing sustainable AI-IoT systems.
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@misc{oai:it.cnr:prodotti:477295,
title = {Driving AI-IoT design towards the UN Sustainable Development Goals (SDGs)},
author = {Tulone D and Samuel G and Tibuzzi A and Coppola M and Charter M and Gemma P and Henz P and Gonzales R and Chessa S and Catarci T},
year = {2022}
}
0000-0002-7937-4157
