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2918 - 高信任工程中的人工智能.pdf

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1、Orlando,FLOctober 69IBM TechXchange 2025Session 2918Daniel MoulPrincipal Product MgrIBM Engineering Lifecycle ManagementAI in high-trust engineering domainsSky MatthewsDirector of DevelopmentAI-augmented engineering teams will innovate faster.IBM TechXchange|2025 IBM Corporation2GenAI alone cannot r

2、eplace engineers,but engineers equipped with GenAI will surpass those without it.IBM TechXchange|2025 IBM Corporation3IBM Engineering/2025 IBM Corporation4Source:MikeElganmastodon.socialHow can we apply imperfect tools in domains where correctness is essential?IBM TechXchange|2025 IBM Corporation5Ag

3、enda0102030405IntroEngineering and agentsThree demosIBM Engineering AI HubGet in the right mindsetIBM TechXchange|2025 IBM CorporationGen AI offers many opportunities along the Engineering V LifecycleIBM Engineering/2025 IBM Corporation7Compare customer requirements with product capabilitiesFind dup

4、licate and conflicting requirementsCreate models from natural languageCode AssistAssess requirements qualityTest developmentPlan AssistDigital thread/trace analysisWork managementEngineering AssistantValidation&VerificationModel simulationTranslationConsistency checksReverse EngineeringInitial Focus

5、 areas for IBM Engineering GenAIEngineeringAccuracy withtolerancesSafetyProfessionalobligationsDeep domain ExpertiseRisks and Challenges8?GenAIProbabilisticBlack boxBullshitterLimited domain understanding 11Humans tend to project reasoning skills on to GenAI models that exceed their true capabilitie

6、s“STOP ANTHROPOMORPHIZING INTERMEDIATE TOKENS AS REASONING/THINKING TRACES!”,Subbarao Kambhampati et al.,Arizona State University,May 2025 https:/arxiv.org/pdf/2504.09762 IBM Engineering/2025 IBM CorporationTrustworthiness is on the spectrumIBM Engineering/2025 IBM Corporation9BrainstormingDocument

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根据报告的内容,全文主要内容概括如下: - **IBM Engineering AI Hub**:这是一个集成的AI工具,旨在自动化工程任务,提高效率。 - **核心功能**: - **要求质量分析**:分析需求,提高质量。 - **工程助手**:自然语言界面,快速获取信息。 - **工作项摘要**:简化复杂任务、缺陷和功能。 - **MBSE用例发现**:从需求中识别用例和参与者。 - **挑战与风险**:AI的局限性,如黑盒、概率性和领域理解有限。 - **未来展望**:扩展产品范围,增加新功能和定制性。 - **关键点**: - 工程师使用AI将超越不使用AI的同行。 - AI不应被拟人化,应理解其局限性。 - IBM Engineering AI Hub旨在提高工程效率。
"工程领域AI如何提速?" "如何完美运用IBM AI Hub?" "AI助力的工程团队有哪些优势?"
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