Unraveling the hidden environmental impacts of AI solutions for environment

@article{Ligozat2021UnravelingTH,
  title={Unraveling the hidden environmental impacts of AI solutions for environment},
  author={Anne-Laure Ligozat and Julien Lef{\`e}vre and Aur{\'e}lie Bugeau and Jacques Combaz},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.11822}
}
In the past ten years, artificial intelligence has encountered such dramatic progress that it is now seen as a tool of choice to solve environmental issues and in the first place greenhouse gas emissions (GHG). At the same time the deep learning community began to realize that training models with more and more parameters requires a lot of energy and as a conse-quence GHG emissions. To our knowledge, questioning the complete net environmental impacts of AI solutions for the environment (AI for… 
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