信任基础设施：企业环境如何使人工智能安全、实用且可重复.pdf

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1、The Trust Infrastructure HOW ENTERPRISE CONTEXT MAKES AI SAFE,USEFUL,AND REPEATABLEGabe KeithDirector Content IntelligenceEngineeringRafal HryniewiczManager Content IntelligenceProductThe Trust InfrastructureAgents NEED ContextBreakout Backwards Build A BotShare learnings and wrap up Add Live Poll u

2、pdatesWho has agents running in production?In the world of AI,agents make decisions with guided autonomy rather than programmed workflowsHow can agents get the right data,at the right time to make effective decisions?AI agents rely on context to make better decisionsRelevant documents,data tables,pr

3、evious messages,background information,constraints,policyWhat is context?Information you provide to an AI model alongside your question or instructionActs as the AIs“working memory”for that specific conversationWhy does context matter?Accuracy:Better inputs lead to better outcomes Relevance:Helps AI

4、 focus on what matters Control:Grounds responses in real information Consistency:Keeps answers aligned with your rulesBusiness DefinitionsStandardizing business logic,glossaries,and metadata across disparate silos to establish a single source of truth.Permissions&RulesIntegrating ACLs,versioning,ret

5、ention policies,and regional compliance constraints natively.RelationshipsMapping the invisible threads that connect critical documents to specific customers,cases,and products.Making Context ConcreteContext is the trust layer that sits on top of your content.AI Trust Maturity Model:context makes AI

6、 safe,useful,and repeatableComplexity and Trust IncreaseBlind AssistantLEVEL 1Public LLM Smart modelHallucination RiskSecurity RiskSemantic AILEVEL 2Getting Smarter!Flattened ContextPrep via pipelineLimited Access ControlCant Handle Complex QuestionsTool AgentsLEVEL 3Getting Agen