학술논문

Towards Green AI: Current Status and Future Research
Document Type
Conference
Source
2024 Electronics Goes Green 2024+ (EGG) Electronics Goes Green 2024+ (EGG), 2024. :1-11 Jun, 2024
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Computational modeling
Green products
Estimation
Hardware
Data models
Systems thinking
Servers
artificial intelligence
machine learning
energy consumption
environmental impact
sustainable design
Language
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’.