Systemic Risk Governance for Artificial Intelligence Development:Practical Reflection,Rational Construction and Strategy Optimization
The development of artificial intelligence(AI)is causing increasing chain reactions of risk replication and transmission,constituting a great challenge to modernizing the national system and capacity for governance.The model featuring with different types of risks as the object of regulation,technical perspective as the field of governance,and axiological thinking as the preventive strategy provides perspectives for the conceptualization and governance of the risk of AI development.However,due to the lack of construct in"meta-risk"at the rational level,the research on different risk governance strategies finds it difficult to achieve axiological commensuration among different governance objects,accommo-date both public security risk and national security risk in the AI development,and form an effective govemance synergy for the complex internal and external risks.Based on the system thinking of a holistic approach to national security,we should rationally construct the systemic risk concept for AI develop-ment based on the risk itself and explore the endogenous mechanism of systemic risk from the elemental,observational and dynamic perspectives so as to create a brand-new perspective for explaining and re-sponding to the risks of AI development.Therefore,the governance optimization for the systemic risk of AI development from the perspective of a holistic approach to national security should take into account the high correlation between AI and the system.As a result,"different types of risks"should be trans-ferred into"nodal risks"to achieve the axiological commensuration for the governance objects.The"correlation"should replace"functionality"to clarify the systematic logic of technology governance.And"system equity"should be integrated into the"value orientation"to strengthen the system resilience of the risk governance system.
a holistic approach to national securityartificial intelligencesystemic riskrisk gover-nancenational governance system