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Wavestone:2026人工智能(AI)治理与风险管理研究报告(英文版)(14页).pdf

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1、AI Governance and Risk Management2026 is the year AI governance becomes a Board mandate.Understand why taking a proactive approach to AI risk is essential for protecting the business and securing competitive advantage.Boardroom Briefing WAVESTONE|2IntroductionAI is advancing at a pace that outstrips

2、 traditional governance models and Boards must act now.Our experts highlight the rapidly evolving risk landscape and the complexity of regulatory and compliance challenges,then offer a practical framework to support the responsible scaling of AI across organizations.01 AI Governance must be on Board

3、 agendas Page 4Table of ContentsAboutWavestoneHow do we help clients with AI governance?Page 11Authors and contributorsPage 12AI Governance and Risk Management02 Executives have key responsibilities for AI Risk OversightPage 704 Regulatory and compliance challenges are particularly complexPage 603 T

4、he AI risk landscape is rapidly evolvingPage 5ChaptersClient storiesHow did a global insurance company operationalize AI risk governance?Page 9How did a global energy company ensure the safe and scalable rollout of its GenAI program?Page 1005 The Integrated AI Risk Management FrameworkPage 8Executiv

5、e SummaryPage 3 WAVESTONE|3AI risks pose an existential threat to companies;responsibility lies with all Board members.As AI proliferates across companies and industries,Boards must act now to ensure their organizations are fully equipped to adopt AI but,equally importantly,to manage the novel,and e

6、xistential,risks AI brings.In this paper,we explain how a lack of effective AI governance-overseen by the Board poses critical threats to the organization,whether from a regulatory,reputational or innovation perspective.We also underline how all Board members have responsibilities when it comes to A

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1. **2026年AI治理将成为董事会强制要求**:AI发展速度超越传统治理模式,董事会需立即行动,确保组织具备AI采纳与管理新型风险的能力。 2. **三大关键风险**:缺乏有效治理将导致监管违规(如违反欧盟《AI法案》)、声誉损害(客户/员工信任崩塌)及创新停滞(项目因合规问题被搁置)。 3. **董事会责任**:所有董事会成员均需承担AI治理责任,而非仅依赖CIO;需平衡速度、控制与ROI,将治理视为规模化AI的“许可证”。 4. **复杂监管挑战**:全球AI法规快速演变(如欧盟风险分级、美国权利导向模式),企业需遵循最严格标准,并平衡合规与品牌保护。 5. **整合风险管理框架**:需建立跨职能(风险、AI、数据等)的“生态系统”框架,覆盖数据质量、偏见检测、网络安全等关键风险缓解措施。
AI治理为何重要? 董事会如何监管AI? AI风险如何管控?
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