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.
Source: pp.1–20, 2022
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@techreport{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.},
institution = {pp.1–20, 2022},
year = {2022}
}
0000-0002-7937-4157
