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国际电信联盟(ITU):2025年人工智能治理年度报告:引领人工智能的未来(中译版)(100页).pdf

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1、In partnership with:ITUPublicationsInternational Telecommunication UnionTelecommunication Standardization SectorThe Annual AI Governance Report 2025:Steering the Future of AI2025 ReportDisclaimerThe designations employed and the presentation of the material in this publication do not imply the expre

2、ssion of any opinion whatsoever on the part of ITU 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 certain manufacturer products does not imply that they are end

3、orsed or recommended by ITU in preference to others of a similar nature that are not mentioned.Errors and omissions excepted,the names of proprietary products are distinguished by initial capital letters.All reasonable precautions have been taken by ITU to verify the information contained in this pu

4、blication.However,the published material is being distributed without warranty of any kind,either expressed or implied.The responsibility for the interpretation and use of the material lies with the reader.The opinions,findings and conclusions expressed in this publication do not necessarily reflect

5、 the views of ITU or its membership.ISBN978-92-61-41441-2(Electronic version)978-92-61-41451-1(Paper version)The Annual AI Governance Report 2025:Steering the Future of AI2025 ReportIn partnership with:iiForeword by Doreen Bogdan-Martin,ITU Secretary-GeneralAs the global AI race continues to acceler

6、ate,humanity stands at a unique,transformative moment.Our collective challenge is not whether to govern artificial intelligence,but to understand and ensure governance steers AI in the right direction.This is at the heart of ITUs mission to offer a neutral,global platform for artificial intelligence

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1. **AI代理治理**:2025年为"AI代理年",自主代理能力快速提升,但存在可追溯性、安全漏洞等治理挑战,需建立标识、监控和责任分配框架。 2. **社会经济影响**:AI重塑劳动力市场,中低技能岗位受冲击,但生成式AI提升客服等专业领域生产力;全球AI算力分布不均,美欧中占超50%,非洲南美几乎无算力中心。 3. **国际协调与标准**:全球AI峰会(如巴黎2025)推动合作,但治理碎片化;ITU、ISO等制定技术伦理标准,AMAS倡议支持透明与问责。 4. **风险与安全**:AI安全 institutes 聚焦模型测试,开源模型治理争议;验证机制(如训练细节审查)成为关键风险管控手段。 5. **能源与基础设施**:AI训练与推理能耗显著,未来日耗电或达TWh级;需发展可持续算力及跨区域协作。
AI治理新趋势? 劳动力如何转型? 算力争夺战?
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