A study explores what children understand — and don't understand — about the true environmental cost of the artificial intelligence systems they use every day.
This research examines children's reasoning about the environmental footprint of artificial intelligence: energy consumption, water use for data center cooling, carbon emissions related to model training.
The study is part of an emerging field of research on AI education, which aims to develop a more accurate understanding among young people of the material and environmental costs that are often invisible behind tools perceived as purely digital and immaterial.
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