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国际电信联盟:2026 AI就绪度:构建标准化就绪度框架分析报告V2.0(中译版)(55页).pdf

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1、ITUPublicationsInternational Telecommunication UnionTelecommunication Standardization SectorAI Ready Analysis Towards a Standardized Readiness FrameworkVersion 2.0 Interim ReportJanuary 2026DisclaimerThe views expressed in this publication are those of the authors and do not necessarily reflect the

2、views of ITU.Any references made to specific countries,companies,products,initiatives or guidelines do not in any way imply that they are endorsed or recommended by ITU,the authors,in preference to others of similar nature that are not mentioned.Requests to reproduce extracts of this publication may

3、 be submitted to jur itu.int.This document is intended for informational purposes only.Information provided is correct as of June 2025.The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of ITU concernin

4、g 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 certain manufacturer products does not imply that they are endorsed or recommended by ITU in preference to others of a sim

5、ilar nature that are not mentioned.All reasonable precautions have been taken by ITU to verify the information contained in this publication.However,the published material is being distributed without warranty of any kind,either expressed or implied.The responsibility for the interpretation and use

6、of the material lies with the reader.The opinions,findings and conclusions expressed in this publication do not necessarily reflect the views of ITU or its membership.ISBN978-92-61-41911-0(electronic version)978-92-61-41921-9(EPUB version)AI Ready Analysis Towards a Standardized Readiness FrameworkV

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1. **ITU发布AI就绪框架2.0版**,旨在评估各国/企业AI集成能力,通过Plugfest项目收集38国88位专家意见,形成13个核心维度(如数据、数字基础设施、数字技能等)及配套指标。 2. **关键数据**:全球互联网渗透率55.56%,5G覆盖率55%(高收入国家84%);发达国家数据中心数量、人均供电量为发展中国家的2倍以上;开源AI技术参与度与研发能力、计算容量显著正相关。 3. **核心发现**:数据质量与多样性直接影响AI公平性;中等收入国家AI技能增速最快,但低收入国家数字素养普遍偏低;政策需平衡公共投资与商业化,推动标准化与跨领域协作。 4. **工具与挑战**:推出AI-RE Toolkit动态评估工具,未来将扩展Plugfest项目、制定AI就绪标准,并解决全球网络覆盖不均、数据治理缺失等实施差距。
AI如何赋能医疗? 数据如何影响AI? 标准如何推动AI?
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