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世界经济论坛&埃森哲:2025推进负责任人工智能(AI)创新:行动指南(英文版)(47页).pdf

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1、Advancing Responsible AIInnovation:A PlaybookI N S I G H T R E P O R TS E P T E M B E R 2 0 2 5In collaboration withAccentureImages: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,interp

2、retations 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.2025 World Econo

3、mic 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 4Introduction 5Dimension 1:Strategy and value creation 8P

4、lay 1:Lead with a long-term,responsible AI strategy 9 and vision for value creationPlay 2:Unlock AI innovation with trustworthy data governance 12Play 3:Design resilient responsible AI processes 15 for business continuityDimension 2:Governance and accountability 18Play 4:Appoint and incentivize AI g

5、overnance leaders 19Play 5:Adopt a systematic,systemic and context-specific 21 approach toriskmanagementPlay 6:Provide transparency into responsible AI practices 24 andincidentresponseDimension 3:Development and use 27Play 7:Drive AI innovations with responsible design as the default 28Play 8:Scale

6、responsible AI with technology enablement 31Play 9:Increase responsible AI literacy 33 and workforce transition opportunitiesConclusion 36Contributors 37Endnotes 43Advancing Responsible AIInnovation:A Playbook2ForewordNearly three years into the worlds“generative artificial intelligence(AI)moment”,A

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根据《Advancing ResponsibleAI Innovation: A Playbook》的内容,以下为全文关键点概括: 1. **责任AI的重要性**:责任AI对于可持续创新至关重要,但实施差距较大,不到1%的组织全面实施了责任AI。 2. **责任AI的成熟度**:2025年调查显示,81%的公司处于责任AI实施的早期阶段。 3. **策略和价值创造**: - **长期策略**:组织应将责任AI策略融入业务战略,政府应通过政策激励企业实施。 - **数据治理**:确保数据质量、互操作性和可追溯性,解决数据稀缺问题。 - **业务连续性**:设计具有弹性的AI流程,以适应技术发展和监管变化。 4. **治理和问责**: - **领导力**:任命AI治理领导者,建立跨职能团队。 - **风险管理**:采用系统性的风险管理方法,适应组织特定环境。 - **透明度**:提供责任AI实践和事件响应的透明度。 5. **开发和利用**: - **责任设计**:将责任设计原则融入产品和服务。 - **技术赋能**:利用技术工具支持责任AI的扩展。 - **提高意识**:增加责任AI的意识和劳动力转型机会。
如何从合规走向信任?" 企业如何打造竞争优势?" 如何平衡创新与风险?"
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