保护隐私的人工智能基础：受监管行业的构建模块.pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.A R C 3 2 8Ruben MerzJ.D.BeanPrivacy-preserving AI primitives:Building Blocks for Regulated Indust

2、ries(he/him)Principal Solutions ArchitectAWS(he/him)Principal Security ArchitectAWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.1.The urgency of data privacy2.AI/ML mental-model&scenarios3.Building blocks4.Summ

3、ary&next-stepsAgenda 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Financial ServicesHealth&Life ScienceRegulated IndustriesPublic SectorManufacturingTelecommunicationDefense&National securityEnergy/UtilitiesGamingMedia&EntertainmentRegulatory Attention GrowsArtificial Intellige

4、nce(AI)systemsCyber-securityData-privacyBusiness continuity&Operational safety 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AI RegulationA complex fast evolving environment:lets focus on data protection and privacyChanges Fast&Heterogenous1400+initiatives across 80+countries(OE

5、CD AI Policy navigator)Overlapping jurisdisctionsConvergenceCybersecurity&data privacyVisibility,secure access,data controlBroadCyber security&Data privacyTransparency&ExplanabilityAutomated decision making&human oversightRisk-based classificationProfilingSafety 2025,Amazon Web Services,Inc.or its a

6、ffiliates.All rights reserved.Governance requires verifiable evidence and accountabilityRegulated data demands assurance 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Assurance and evidence with AWSOur tenet:controls with assuranceAWS ArtifactOpen-source framework on AWSContract