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世界经济论坛(WEF):2026让智能体式AI服务政府:就绪度框架洞察报告(中译版)(40页).pdf

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1、Making Agentic AI WorkforGovernment:A Readiness FrameworkI N S I G H T R E P O R TA P R I L 2 0 2 6In collaboration with CapgeminiImages:Getty Images,Adobe StockDisclaimer This document is published by the World Economic Forum as a contribution to a project,insight area or interaction.The findings,i

2、nterpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Members,Partners or other stakeholders.2026 World

3、Economic Forum.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.ContentsForeword 3Executive summary 51 The agentic opportunity 61.1 From process digitiz

4、ation to outcome orchestration 71.2 Why agentic AI matters for governments 91.3 The tactical challenge:where to begin 92 An innovative government readiness framework for agentic AI 102.1 A function-based assessment lens 112.2 The assessment of potential against complexity 132.3 A topography of gover

5、nment readiness 152.4 From global topography to regional roadmap 223 Learning from successful deployments 26Conclusion 30Appendices 31A1 Methodology 31A2 Comprehensive breakdowns of agentic AI assessment 33 scores for all 70 core governmentfunctionsContributors 37Endnotes 39Making Agentic AI Workfor

6、Government2Over the past decade,governments around the world have invested heavily in digital transformation and it has paid off.Public services have moved online,data-driven decision-making has gained real traction across many administrations,and the govtech market has matured from a niche into a g

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1. **核心框架**:提出首个政府智能体AI(Agentic AI)就绪度评估框架,以70项核心政府职能为分析单元,按“潜在价值-实施复杂度”双维度划分为高、中、低三区。 2. **关键数据**:50%职能(35项)属中高就绪区,其中“公共信息服务”类66%职能(如资格评估、欺诈检测)适合优先部署,高潜力且低复杂度。 3. **实施建议**: - 优先从信息驱动型职能(如网络安全监控)切入,降低风险; - 需结合本地数字成熟度、数据基础设施等6步调整全球路线图; - 强调人机协同,避免过度依赖自动化,确保公共价值与伦理合规。 4. **核心结论**:智能体AI可重塑政府服务,但需战略 sequencing(如先试点再规模化),避免40%项目因风险失控被取消(Gartner预测)。
政府AI机遇? AI如何变革政务? AI落地难点在哪?
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