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  4. Towards Green AI: Current Status and Future Research
 
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2024
Conference Paper
Title

Towards Green AI: Current Status and Future Research

Abstract
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".
Author(s)
Clemm, Christian
Stobbe, Lutz  
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Wimalawarne, Kishan A.D.N.K.
Druschke, Jan  
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Mainwork
International Conference "Electronics Goes Green 2024+", EGG 2024. Proceedings  
Conference
International Conference "Electronics Goes Green 2024+"  
Open Access
DOI
10.23919/EGG62010.2024.10631247
Language
English
Fraunhofer-Institut für Zuverlässigkeit und Mikrointegration IZM  
Keyword(s)
  • artificial intelligence

  • energy consumption

  • environmental impact

  • machine learning

  • sustainable design

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