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Unraveling the Hidden Environmental Impacts of AI Solutions for Environment

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arxiv 2110.11822 v2 pith:R2ROI4CH submitted 2021-10-22 cs.AI cs.CY

Anne-Laure Ligozat , Julien Lefèvre , Aurélie Bugeau , Jacques Combaz This is my paper · ORCID
classification cs.AIcs.CY
keywords impactsenvironmentalgreenassessdifferentemissionsenvironmentfirst
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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 consequence GHG emissions. To our knowledge, questioning the complete net environmental impacts of AI solutions for the environment (AI for Green), and not only GHG, has never been addressed directly. In this article, we propose to study the possible negative impacts of AI for Green. First, we review the different types of AI impacts, then we present the different methodologies used to assess those impacts, and show how to apply life cycle assessment to AI services. Finally, we discuss how to assess the environmental usefulness of a general AI service, and point out the limitations of existing work in AI for Green.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. LACONIC: A 3D Layout Adapter for Controllable Image Creation

    cs.CV 2025-07 conditional novelty 6.0 of 10

    A trainable adapter steers a frozen Stable Diffusion model with semantic 3D bounding boxes and a camera pose, producing images that respect 3D layout, viewpoint, and per-object captions.

  2. Misinformation by Omission: The Need for More Environmental Transparency in AI

    cs.CY 2025-06 conditional novelty 6.0 of 10

    Environmental disclosure for notable AI models peaked in 2022 and then declined, and out-of-context energy and emissions estimates now dominate media coverage.

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