认知域的智能博弈:人工智能赋能的情报对抗、风险传导与治理路径OACHSSCD

[Purpose]In response to current issues in cognitive domain security research,such as fragmented analytical frameworks,lack of a dynamic evolutionary perspective,and insufficient operability of governance solutions,this study aims to systematically analyze the evolutionary logic,risk transmission mechanisms,and governance pathways of cognitive domain intelligence confrontation in the era of ar-tificial intelligence,and to construct an integrated analytical framework that combines theoretical explanatory power with practical guid-ance.[Method]By developing a three-stage cognitive domain intelligence confrontation model of"infiltration-evasion-solidifica-tion",this study innovatively introduces the"risk spiral"theory to explain the dynamic transmission mechanism of"disorder-fragmen-tation-lag-worsening disorder".Through case analysis and mechanism deduction,it proposes a governance pathway that integrates precise countermeasures and systematic foundation-building.[Result/Conclusion]The research shows that AI-empowered cognitive confrontation exhibits a progressive closed-loop characteristic,moving from intelligence infiltration and counterintelligence evasion to cog-nitive shaping.Its risks form a self-reinforcing vicious spiral through the interaction of mainstream narrative disorder,social consensus di-vision,and governance lag.Accordingly,this study proposes phased governance strategies targeting the"infiltration-evasion-solidifi-cation"model and a systematic governance system oriented toward the"risk spiral",providing a governance pathway reference for build-ing cognitive security defenses and addressing systemic cognitive risks in the intelligent era.