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Krungsri Research:2024年AI产业可持续发展报告:实现环保与效率协同发展(中译版)(19页).pdf

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1、CoverResearch IntelligenceSustainable AI:Planting the Seeds for a Greener AI Industry November 2024Krungsri ResearchContentContentUnless explicitly stated otherwise,this publication and all material therein is under the copyright of Krungsri Research.As such,the reuse,reproduction,or alteration of t

2、his text or any part thereof is absolutely prohibited without prior written consent.This report draws on a wide range of well-established and trustworthy sources,but Krungsri Research can make no guarantee of the absolute veracity of the material cited.Moreover,Krungsri Research will not be held res

3、ponsible for any losses that may occur either directly or indirectly from any use to which this report or the data contained therein may be put.The information,opinions,and judgements expressed in this report are those of Krungsri Research,but this publication does not necessarily reflect the opinio

4、ns of Bank of Ayudhya Public Company Limited or of any other companies within the same commercial group.This report is an accurate reflection of the thinking and opinions of Krungsri Research as of the day of publication,but we reserve the right to change those opinions without prior notice.Disclaim

5、erFor research subscription,Subscribe UsExecutive summary3Will progress in AI worsen climate change?4What is sustainable AI and why does it matter?8Global efforts to green the AI industry12Current sustainable AI regulatory environment14The future of sustainable AI and what it means for Thailand16Ref

6、erences18Despite its many positives,rapid advances in AI are having an escalating impact on the environment,particularlydue to massive energy and resource consumption.This is being seen across the AI pipeline,from themanufacture of hardware through the training and use of AI models and on to the dat

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本文主要探讨了人工智能(AI)对环境的影响,以及如何实现可持续的AI发展。文章指出,尽管AI带来了许多积极变化,但其快速发展对环境产生了重大影响,尤其是能源和资源的巨大消耗。具体来说,AI的碳足迹主要来自数据中心的运营,预计到2026年,全球数据中心用电量将翻倍,达到相当于日本全国用电量的水平。此外,AI行业也是电子垃圾(e-waste)的一个重要来源,预计到2030年,AI行业将产生相当于超过10亿部iPhone 15 Pro的电子垃圾。 为了解决这些问题,文章提出了可持续AI的概念,即在AI的生命周期中强调可持续性,包括硬件、模型和数据中心的优化。具体措施包括使用更环保的硬件,开发和训练能耗更低的AI模型,以及通过提高能源效率和转向可再生能源来减少数据中心的碳排放。 总的来说,文章强调了AI行业在快速发展过程中对环境造成的影响,并提出了实现可持续AI发展的途径。
人工智能如何影响环境? 可持续人工智能的关键是什么? 如何减少人工智能的碳足迹?
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