人工智能大模型安全机理研究OA

Large model security is a core issue in Artificial Intelligence(AI)governance,and its complexity far exceeds that of traditional cybersecurity and software vulnerability management.From the perspective of complex adaptive systems,this paper deconstructed large model security into a dynamic system shaped by the interaction of attack,defense,and vulnerability,examined its connotations,extensions,and constituent elements,and identified three major trends in its evolution.It argued that attack was essentially adaptive perturbation,defense was essentially resilience enhancing,and vulnerability was a tension node in the system structure that embodied both destructive potential and improvement value.The security boundary of large models is expanding from discrete points and chains toward the full life cycle,with technology,institutions,and openness jointly sustaining its effective operation.Accordingly,this paper put forward recommendations across three dimensions,namely technological offense and defense,governance rules,and international cooperation,so as to promote the construction of a security theory system commensurate with AI development and better implement the strategic requirement of coordinating development and security.