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隐私 3.0 指南:转变您的运营方式迎接快速的技术和法律变革.pdf

上传人: 明**** 编号:617796 2025-03-13 17页 1.66MB

1、A Guide to Privacy 3.0:Transforming your programme for rapid technological and legal changeChristine J LeeChief Privacy OfficerUnileverLara LissChief Privacy and Data Trust OfficerGE HealthcareKirsten Mycroft Chief Privacy and Data Ethics OfficerBank of New YorkOliver YarosPartner,Cybersecurity&Data

2、 PrivacyMayer BrownWELCOME AND INTRODUCTIONSA Guide to Privacy 3.0:An Expanding Remit2019 Agenda Most Common ThemesA Guide to Privacy 3.0:An Expanding Remit2024 Agenda Most Common ThemesA Guide to Privacy 3.0Transforming your programme for rapid technological and legal changeA Guide to Privacy 3.0:A

3、 Privacy ProgrammeFromA Guide to Privacy 3.0:An Evolving Privacy and Digital Trust ProgrammeToAutomation&SimplificationCollaboration&IntegrationPrioritisation on Risk and ImpactIncentivisation&retentionDemocratisationGlobal Privacy and Data Trust Office Our VisionEnable innovation and technologies w

4、ith integrity,transparency,and trust.Our MissionServe patients,customers and our people embedding and enforcing privacy protections and responsible use of AI.Develop reusable data products to ensure seamless data consumption across AI needs(ingestion,quality,feature,model dev.,model training etc.)Ch

5、ief Information OfficerChief Data OfficerData&TechnologyResponsible AI CouncilDevelop a comprehensive internal and external communications plan for key stakeholders including customers,patients,legislators,regulators and workforceGlobal Public AffairsChief Marketing Officer,Science and Technology Of

6、fice Government Relations Chief Talent OfficerCommunications,Government Relations,HRDefine AI quality,legal and compliance controls(risk,compliance,investigations,audit,ethics)Senior Director,Regulatory AffairsVice President of Digital QualityChief Compliance Officer Risk Management Quality Assuranc

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本文主要介绍了隐私保护在快速技术变革和法律变动中的应对策略,以Unilever、GE Healthcare、Bank of New York等企业的首席隐私官和数据伦理官为首,提出了一系列应对方案。文章强调了隐私保护在数字化转型中的重要性,并提出了隐私3.0的概念,即在自动化和简化的基础上,实现隐私保护和数据信任的整合。此外,文章还提到了实施可复用数据产品、制定全面的内外部沟通计划、建立责任AI委员会、完善数据质量和法律合规控制等关键措施。为实现这一目标,企业需要跨部门合作,包括信息官、数据官、合规官等,共同推动隐私保护工作的实施。最后,文章提供了一份资源清单,包括各种关于AI治理、数据和信任联盟标准检查表、NIST人工智能风险管理框架等,以供读者参考。
如何应对技术变革?" 实践案例与挑战" 如何构建与维护?"
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