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人工智能治理框架的五大必备要素.pdf

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1、BDO USA,P.C,a Virginia professional corporation,is the U.S.member of BDO International Limited,a UK company limited by guarantee,and forms part of the international BDO network of independent member firms.The 5 Must Haves of an AI Governance FrameworkSANS AI SUMMIT:MARCH/APRIL 2025 52Security vs.Com

2、plianceA VICIOUS CIRCLETHE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORKImplementing ControlsSlows innovationResource intensiveBaking in ControlsPoor designUnauditable controlsChecklist ComplianceTick in the boxZero sum game23AgendaTHE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORKThe Need for AI Governanc

3、eAI Governance ObjectivesAI Governance Must-HavesGovernance as a Culture4 4The Need for AI GovernanceTHE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORK5AI Does Fail!THE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORKMcDonaldsMcDonalds ends its 3-year AI experiment after drive-thru ordering blunders in June 2

4、024.AIR CANADAChatbot provided incorrect info to customerAirline paid compensation and damagesTRIVAGOACCC vs.TrivagoMisled customers to book hotels with higher commissionPaid$44M penalties6Wave of RegulationsSource:IAPP Research and InsightsColorado AI ActEU AI ActU.S.State lawsCountry-specific laws

5、ISO 42001THE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORK7 7AI Governance ObjectivesTHE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORK8THE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORKCharacteristics of an AI Governance FrameworkEstablishes AccountabilityHelps Meet the Requirements of Applicable RegulationsA

6、ddresses Unique Risks and ChallengesPromotes Responsible and Trustworthy AIStrong Monitoring and Oversight Comprehensive Risk Management Processes9THE 5 MUST HAVES OF AN AI GOVERNANCE FRAMEWORKNIST AI RMF Trustworthy AISource:AI RMF 1.0 PDF SafeSecure andResilientExplainable andInterpretablePrivacy-

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根据报告的内容,全文主要内容概括如下: - **AI治理框架的必要性**:随着AI技术的发展和应用,AI治理框架变得至关重要,以应对安全、合规和责任等问题。 - **AI治理目标**:包括建立问责制、满足法规要求、应对独特风险和挑战、促进负责任和值得信赖的AI。 - **AI治理关键要素**:如模型库存、全面风险评估、数据治理流程、验证和验证步骤、监控和检测。 - **AI风险管理**:涉及组织风险和系统性风险,包括数据管理、安全与安全、数据质量等。 - **案例研究**:麦当劳、加拿大航空、Trivago等公司的AI失败案例,突显了AI治理的重要性。 - **法规趋势**:如Colorado AI Act、EU AI Act、U.S. State laws和ISO 42001等。 - **AI治理框架特点**:如可解释性、隐私增强、公平性、可问责性和透明度。 - **AI模型库存的好处**:提供AI景观的单一视角、一致的政策实施、模型风险分层、合规跟踪、管理报告便利性等。 核心数据: - Trivago因误导客户预订佣金更高的酒店,支付了约4400万美元的罚款。
五大关键要素" 如何有效管理?" 法规与风险应对"
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