Discussed the impact of artificial intelligence as a disruptive technology on the global economic and political landscape, as well as the challenges it poses to global governance. It emphasizes the differences in culture, economy, law, and artificial intelligence advantages among different countries and regions, which make it difficult to reach consensus and build a cooperative governance system at the global level. The chapter also mentioned the impact of the development of artificial intelligence technology on the comparison of power between countries and the global competitive landscape. Special emphasis was placed on the role of the United Nations in promoting global governance of artificial intelligence security, including through relevant resolutions and China's proposal to strengthen the rule based governance of artificial intelligence within the framework of the United Nations. At the same time, the chapter points out the cooperative obstacles in global artificial intelligence security governance, such as interest disputes, cognitive differences, and rule games, which have led to trust dilemmas and had a negative impact on the governance process. Finally, the article proposes the necessity of building a trust analysis framework for global artificial intelligence security governance, and plans to explore and solve these trust dilemmas through case studies.

1、 The Connotation of Global Artificial Intelligence Security Governance

Explored the connotation of global artificial intelligence security governance, pointed out that the academic community has not yet formed a unified definition, and the research objects and topics are scattered. In terms of governance progress, the focus issues, system construction, practical development, and attention directions in the field were analyzed. In terms of risk areas, technology, data, political, and military security risks were analyzed. In terms of governance path, we focus on international coordination, strategic stability, major power cooperation, and national security governance. Existing research provides a theoretical basis for constructing analytical frameworks, but lags behind practical progress. The global governance of artificial intelligence security is a complex system that involves technical, ethical, legal, economic, and social aspects. Its connotation includes ensuring technological and data security, establishing ethical standards, improving decision-making transparency, clarifying responsibility attribution, establishing regulatory mechanisms, promoting international cooperation, etc., aiming to make the development of artificial intelligence orderly, reliable, and sustainable. The governance system is comprehensive, dynamic, and multi-level, aimed at identifying, evaluating, mitigating, and preventing risks and challenges. In terms of technical regulation, it is a collection of norms, standards, policies, and procedures to ensure that technological development and application comply with globally recognized safety, ethical, and legal requirements. The goal of global artificial intelligence security governance is to ensure safety, controllability, fairness, ethics, and legal compliance, and to promote the construction of a comprehensive, coordinated, and effective governance system.

2、 Construction of Trust Paradigm for Global Artificial Intelligence Security Governance

In depth exploration was conducted on the trust paradigm construction of global artificial intelligence security governance, pointing out that global artificial intelligence security governance is a multidimensional and cross disciplinary system engineering that requires the construction of a comprehensive, coordinated, and sustainable governance framework. The current global governance of artificial intelligence security is facing a contradiction between the rapid development of technology and the lagging governance system, as well as the diversity and complexity of interests and demands of various countries, which makes it difficult to form a governance system and damages the trust relationship between subjects. Global AI security governance has become the focus of the international community, but the existing governance mechanism has limited role and is constrained by the AI development strategies of participating countries. The United States defines China as a competitor, attempting to seize regulatory and strategic dominance in the field of global artificial intelligence security governance. The secrecy, uncertainty, complexity, and global nature of risks associated with artificial intelligence pose significant challenges to governance, and providing an "institutional fence" for AI governance has formed a broad consensus at the international level. There are governance priorities among various stakeholders that operate independently, leading to a lack of coordination among multilateral mechanisms in global artificial intelligence security governance and further deepening trust cracks in governance.

3、 Different Scenarios of Trust Dilemma in Global Artificial Intelligence Security Governance

The global governance of artificial intelligence security is facing multiple trust dilemmas among countries, mainly reflected in three aspects: rational trust, value trust, and environmental trust. The dilemma of rational trust arises from a country's pursuit of technological advantages while avoiding marginalization, leading to obstacles to cooperation. The value trust dilemma, due to the complexity and unpredictability of technology, leads to differences in values and judgments among countries in risk assessment and prediction, which affects the formulation of global governance rules. The environmental trust dilemma weakens trust between countries due to the lack of a globally unified mechanism and regulation that adapts to artificial intelligence security governance. The trust gap in artificial intelligence security governance between countries has deepened, with political interference, power competition and factional confrontation, policy differences and technological rationality grafting all shaking the foundation of trust. Deviation in conceptual cognition, alienation of ethics and morality, and contradictions in technological regulation exacerbate the dilemma of value trust. The fragmentation of global artificial intelligence security governance rules, incomplete legal systems, and limited participation of international organizations have led to the manifestation of environmental trust dilemmas. By establishing a common interest foundation, seeking value consensus, and creating adaptable governance mechanisms, we can gradually overcome the trust dilemma and promote the development of global artificial intelligence security governance.

4、 Reasons for the formation of trust dilemma in global artificial intelligence security governance

The formation of the trust dilemma in global artificial intelligence security governance involves the composition and core elements of the governance system, as well as the game behavior and national security attributes in the interaction between countries. The direct influencing factors include the diversification of governance entities, the openness of principles, the precision of technology, the globalization of platforms, and the hierarchical efficiency, which, along with their interrelationships, lead to the formation of trust dilemmas. The indirect influencing factors are based on national strategic games, including the importance of global artificial intelligence security governance in the competition and interaction between countries, the complexity of rule establishment and regulatory operation, and the impact of widespread application of artificial intelligence technology on national security. These factors collectively shape the trust foundation of global artificial intelligence security governance, and the imbalance and transformation of relationship networks can lead to the formation of trust dilemmas.

5、 The Path to Resolving the Trust Dilemma in Global Artificial Intelligence Security Governance

The solution to the trust dilemma in global artificial intelligence security governance involves joint efforts from the international community, and China plays an important role in global governance. By building trust mechanisms between countries, China plays an active role in the construction of rational trust, value trust, and environmental trust. The cracking path includes: strengthening strategic guidance, promoting diversified governance, integrating diverse stakeholders in governance, establishing emergency plans to prevent strategic misjudgment; Adhere to humanism, promote good governance, advocate responsible innovation concepts, and construct a shared concept of "governance for good"; Promote institutional supervision, enhance technological intelligence, establish technical social standards, innovate hierarchical governance mechanisms, reserve talent resources, and build resource sharing platforms.

conclusion

The global governance of artificial intelligence security faces trust dilemmas at three levels: rational trust, value trust, and environmental trust, mainly manifested as strategic games, cognitive biases, and institutional deficiencies. These difficulties stem from the lack of coordination and cooperation mechanisms among the basic components of the global governance system. To address this challenge, it is necessary for major artificial intelligence development countries, including China, to take the lead, and all governance participants to work together to promote consensus in the international community on rule making, ethical norms, and technical standards. All parties should strengthen communication and collaboration, build an open, inclusive, cooperative, and win-win global governance system, gradually eliminate trust dilemmas, and achieve the safe, reliable, and sustainable development of artificial intelligence. Looking ahead, the position and role of trust in global artificial intelligence security governance will become increasingly prominent. Various governance participants can effectively mitigate the global risks posed by artificial intelligence by strengthening communication and collaboration, establishing common security standards and governance mechanisms. This requires deep cooperation among all parties in areas such as technological innovation, ethics and morality, risk assessment, etc., to promote a balance between technological innovation and ethics and morality, establish effective risk assessment and response mechanisms, deeply explore mutual trust and consensus between both parties, and enhance value trust and environmental trust. Through international coordination and cooperation to build consensus, establish an open, fair, and effective governance mechanism, promote the benefits of artificial intelligence technology to humanity, and gradually enhance rational trust. In the process of promoting Chinese path to modernization, China should pay attention to AI security governance, participate in global rule making and discussion, actively support the construction of a fair, transparent and efficient global AI security governance rule system, and promote global governance towards a cognitive community, a governance community, and a community of shared future. The academic community needs to further enrich the research perspectives and content of global artificial intelligence security governance, and provide more guiding opinions and suggestions for global governance practices.