Towards Green AI: Current status and future research
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Abstract (arXiv)
The immense technological progress in artificial intelligence research and applications is increasingly drawing attention to the environmental sustainability of such systems, a field that has been termed Green AI. With this contribution we aim to broaden the discourse on Green AI by investigating the current status of approaches to both environmental assessment and ecodesign of AI systems. We propose a life-cycle-based system thinking approach that accounts for the four key elements of these software-hardware-systems: model, data, server, and cloud. We conduct an exemplary estimation of the carbon footprint of relevant compute hardware and highlight the need to further investigate methods for Green AI and ways to facilitate wide-spread adoption of its principles. We envision that AI could be leveraged to mitigate its own environmental challenges, which we denote as AI4greenAI.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 22 of its 72 references that are in the map. First posted on arXiv 1 May 2024.
Builds on
22 of 72 references.
References · 22
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10 more
- 2023A Systematic Review of Green AIcited by 77
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