首页|Revisit the environmental impact of artificial intelligence:the overlooked carbon emission source?

Revisit the environmental impact of artificial intelligence:the overlooked carbon emission source?

扫码查看
原文链接
  • 万方数据
The boosting development of artificial intelligence(AI)is contributing to rapid exponential surge of computing power demand,which results in the concerns on the increased energy consumption and carbon emission.To highlight the environmental impact of AI,a quantified analysis on the carbon emission associated with AI systems was conducted in this study,with the hope of offering guidelines for police maker to setup emission limits or studies interested in this issue and beyond.It has been discovered that both industry and academia play pivotal roles in driving AI development forward.The carbon emissions from 79 prominent Al systems released between 2020 and 2024 were quantified.The projected total carbon footprint from the AI systems in the top 20 of carbon emissions could reach up to 102.6 Mt of CO2 equivalent per year.This could potentially have a substantial impact on the environmental market,exceeding$10 billion annually,especially considering potential carbon penalties in the near future.Hence,it is appealed to take proactive measures to develop quantitative analysis methodologies and establish appropriate standards for measuring carbon emissions associated with Al systems.Emission cap is also crucial to drive the industry to adopt more environmentally friendly practices and technologies,in order to build a more sustainable future for AI.

Carbon emissionArtificial intelligence(AI)Training computeEnergy consumptionEconomic analysisEmission caps

Yang Yu、Jiahui Wang、Yu Liu、Pingfeng Yu、Dongsheng Wang、Ping Zheng、Meng Zhang

展开 >

Department of Environmental Engineering,College of Environmental & Resource Sciences,Zhejiang University,Hangzhou 310058,China

Engineering Laboratory of Low-Carbon Unconventional Water Resources Utilization and Water Quality Assurance,College of Environmental Science and Engineering,Nankai University,Tianjin 300350,China

Zhejiang Province Key Laboratory for Water Pollution Control and Environmental Safety,Hangzhou 310058,China

Innovation Center of Yangtze River Delta,Zhejiang University,Jiashan 314100,China

展开 >

2024

10.1007/s11783-024-1918-y

环境科学与工程前沿
高等教育出版社

环境科学与工程前沿

影响因子：0.545
ISSN：2095-2201
年,卷(期)：2024.18(12)