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世界经济论坛:2026 AI 赋能社会价值:人工智能在亚洲社会创新中的作用洞察报告(英文版)(41页).pdf

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1、AI for Impact:The Role of Artificial Intelligence in Social Innovation in AsiaI N S I G H T R E P O R TJ U N E 2 0 2 6In collaboration with EY,Microsoft,SAP and Impact IntelligenceCover image:Drinkwell Images:Getty Images,Pexels ContentsForeword 3Executive summary 4Introduction 51 Key impact themesi

2、nthe region 62 The geography of AI-for-impact in Asia 103 Impact intent 134 Ecosystem maturity across the region 145 Use of AI technologies 196 Challenges of AI adoption for impact 237 Addressing systemic risks 268 Outlook 289 Pathways for impact 29Conclusion 32Appendix 33Contributors 36Endnotes 40D

3、isclaimer This document is published by the Schwab Foundation for Social Entrepreneurship in partnership with the World Economic Forum as a contribution to a project,insight area or interaction.The findings,interpretations and conclusions expressed herein are a result of a collaborative process faci

4、litated and endorsed by the Schwab Foundation but whose results do not necessarily represent the views of the Schwab Foundation or the World Economic Forum,nor the entirety of its Members,Partners or other stakeholders.2026 the Schwab Foundation for Social Entrepreneurship and the World Economic For

5、um.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.AI for Impact:The Role of Artificial Intelligence in Social Innovation in Asia2Artificial intelligen

6、ce(AI)is beginning to reshape how societies respond to some of their urgent challenges.Across Asia,social innovators are early,determined adopters,applying AI to improve health services,strengthen food systems,expand access to education,support climate resilience and improve the delivery of public s

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1. **核心领域**:AI在亚洲社会创新中聚焦医疗(24%)、粮食安全与农业(21%)、能源(8%)和气候行动(7%),前五大领域占60-65%的 initiatives。 2. **地域分布**:中国占42%,印尼和越南占18%和15%,三国合计75%;马来西亚、越南、泰国人均部署密度最高。 3. **技术类型**:物联网(AIoT,19.1%)应用最广,其次为计算机视觉(13.0%)和预测分析(12.9%);生成式AI多用于内部效率提升(4.2%)。 4. **生态系统**:分三类——国家主导型(中、马、泰)、创业驱动型(印尼、菲)、能力受限型(孟、柬、巴、斯),政府领导力是规模化关键。 5. **挑战**:数据基础设施不足、资金偏向轻量化项目、伦理与劳动力风险突出,需从试点转向系统性落地。
AI如何改变亚洲? 社会创新靠什么? AI落地难在哪?
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