人工智能未来的主要挑战.pdf

1、AI future main challengesJuliette MATTIOLI16?AI Main Technology Trends(mainly from 2024 AI Gartner hype curve)?Computer VisionCloud AI ServicesEdge AIKnowledge GraphSovereign AIMLOps/AI OpsSynthetic DataAI Engineering?Quantum AIMNeuro-symbolic AI SPrompt EngineeringResponsible AIFoundation ModelsFAI

2、 GovernanceDecision IntelligencePhysics/Geometry Informed NNAI TRiSM*AI TRiSM*:tackling Trust,Risk and Security in AI Model Federated MLReinforcement LearningMulti-agent SystemsCausal AINeuromorphic ComputingGenerative AIGLarge Language ModelL17?AI GovernanceAI Main Technology Trends:Trustworthy and

3、 Responsible AI?Computer VisionCloud AI ServicesEdge AIKnowledge GraphNeuromorphic ComputingMLOps/AI OpsSynthetic DataAI Engineering?Quantum AIMNeuro-symbolic AI SPrompt EngineeringQResponsible AIFoundation ModelsF FDecision IntelligencePhysics/Geometry Informed NNGenerative AIGAI TRiSM*AI TRiSM*:ta

4、ckling Trust,Risk and Security in AI Model Federated MLReinforcement LearningMulti-agent SystemsCausal AISovereign AITrustworthy and Responsible AILarge Language ModelL18?Trustworthy and Responsible AIValidityTo guaranty that an AI-based system will do what it is meant to do,all what it is meant to

5、do and only what is meant to doExplainabilityTo be able to provide human-level,understandable and context-relevant justifications and explanationsSecurityTo ensure robustness and resilience to adversarial conditions,such as decoying and cyber-attacksResponsibilityTo be compliant with ethical,legal a

6、nd regulatory frameworksThales TrUEAI Transparent,Understandable,Ethical19?Data&AI RegulationGDPRApplicable since May 2018Ensure that companies handle personal data in a responsible and accountable way,and that individuals have greater control over their dataEU DATA GOVERNANCE ACTApplicable Septembe