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数据、隐私与中间模型的三维平衡.pdf

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1、Data,privacy,and the models in betweenKellie Cosgrove RileyChief Privacy OfficerCommodity Futures Trading CommissionWelcome and introductionFelix Van de MaeleCEO,Collibra46OpportunityRiskLaws/regulationsCustomers/clientsInternalEmployee productivityCustomer experience Scale&velocity7Where are you no

2、w?Not speaking the same languageManual workflowsRoles not clearly definedDont always trust our dataLimited visibility8Governance is importantCreates a shared languageBrings people together to collaborateMakes data useableReduces data risksDecision rights&accountability frameworkData GovernanceCopyri

3、ght 2024,Collibra.All rights reserved.9Three approaches to AI GovernanceThe data-centric approach is essential for ensuring effective AI use-case development and risk mitigationHelp data,AI,risk&legal teams deliver trusted AI by providing easy access to reliable data and implementing appropriate con

4、trols across the AI use-case lifecycle.Data-centricCollaboration between AI,data and legal teamsGoal:AI use cases safely in productionHow:Easy use of reliable data,effective collaboration between stakeholdersHelp legal and privacy teams to ensure compliance with laws®ulations by fully documenting

5、 and auditing the use of AI.Compliance-centricLead by legal teamsGoal:compliance&risk managementHow:documentation&attestationHelp AI and data teams to implement AI use-cases effectively by preparing,developing,running and monitoring AI modelsModel ops-centricCollaboration between AI and data teamsGo

6、al:Implement&operate AI use-casesHow:Platform that supports the development and running of AI models10How do you start?AI use casesProcessPeopleTechnologyCopyright 2024,Collibra.All rights reserved.11Changing hearts and mindsetPrioritize governance mindsetFoster data literacy with training on AI and

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本文主要探讨了数据、隐私和人工智能模型之间的关系,由美国商品期货交易委员会首席隐私官Kellie Cosgrove Riley和Collibra公司CEO Felix Van de Maele共同介绍。文章提出了三种人工智能治理方法:数据中心方法、合规中心方法和模型操作中心方法。数据为中心的方法强调在AI使用案例的开发和风险缓解中,提供可靠数据和实施适当控制。合规为中心的方法由法律团队领导,重点是遵守法律和法规。模型操作为中心的方法强调AI和数据团队之间的协作,目标是实施和运营AI使用案例。文章还介绍了AI治理框架的实施步骤和关键角色,以及如何开始建立AI治理。最后,文章强调了AI治理是一个团队运动,需要跨部门合作和培训。根据文中的数据,2002年有2002个首席数据官,到2022年增长到152,000个。
如何确保数据信任与合规性?" 如何通过平台支持AI模型的开发和运行?" 如何通过协作和共享语言降低数据风险?"
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