当前位置:首页 >英文主页 >中英对照 > 报告详情

国际电信联盟:2026衡量关键指标:弥合人工智能环境影响评估的缺口研究报告(英文版)(20页).pdf

上传人: 1****1 编号:1160359 2026-03-19 20页 881.02KB

下载:

1、 ITUPublicationsInternational Telecommunication UnionTelecommunication Standardization SectorMeasuring what matters:Closing the gaps in assessing AIs environmental impact2026 ReportPlease consider the environment before printing this report.ITU 2026Some rights reserved.This work is licensed to the p

2、ublic through a Creative Commons Attribution-Non-Commercial-Share Alike 3.0 IGO license(CC BY-NC-SA 3.0 IGO).Under the terms of this licence,you may copy,redistribute and adapt the work for non-commercial purposes,provided the work is appropriately cited.In any use of this work,there should be no su

3、ggestion that ITU endorse any specific organization,products or services.The unauthorized use of the ITU names or logos is not permitted.If you adapt the work,then you must license your work under the same or equivalent Creative Commons licence.If you create a translation of this work,you should add

4、 the following disclaimer along with the suggested citation:“This translation was not created by the International Telecommunication Union(ITU).ITU is not responsible for the content or accuracy of this translation.The original English edition shall be the binding and authentic edition”.For more inf

5、ormation,please visit https:/creativecommons.org/licenses/by-nc-sa/3.0/igo/DisclaimerThe designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of the International Telecommunication Union(ITU)or of the ITU sec

6、retariat concerning the legal status of any country,territory,city,or area or of its authorities,or concerning the delimitation of its frontiers or boundaries.The mention of specific companies or of certain manufacturers products does not imply that they are endorsed or recommended by ITU in prefere

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
1. **核心问题**:AI环境足迹测量存在数据碎片化、依赖间接估算、缺乏标准化框架等关键缺口,阻碍可持续管理。 2. **创新解决方案**:提出实时遥测工具(如IoT传感器、EcoAI Tracker)、标准化指标(能源/碳/水消耗、PUE、WUE)及全生命周期评估(含硬件制造与供应链排放)。 3. **关键行动**:呼吁国际协作制定统一标准,推广用户行为干预工具(如SumEarth的绿色提示优化),并纳入ESG框架。 4. **核心数据**:需覆盖能源(kWh)、碳足迹(CO₂e)、水资源(升)、电子废物及Scope 3排放等指标,实现跨阶段透明化。
AI如何环保? AI能耗高吗? AI水足迹多大?
客服
商务合作
小程序
服务号
折叠