AI与信任在网络安全中形成正向循环，共筑韧性防护体系。
The Game-Theoretic Symbiosis of Trust and AI in Networked Systems
- 用博弈论建模AI与信任的互动机制
- 动态管理信任可构建抗攻击安全生态
- 适合关注AI安全治理与可信部署的研究者
本章探讨人工智能（AI）与网络系统中信任之间的共生关系，聚焦两者在战略网络安全场景下的相互强化。AI在数据处理、学习和实时响应方面的能力，为动态复杂网络中的信任管理提供了前所未有的支持。然而，AI的有效整合依赖于其自身的可信性。通过博弈论框架，本文提出信任评估方法、AI在网络安全中的战略作用及负责任部署的治理框架。研究发现，通过AI动态管理信任，可形成具有韧性的安全生态系统。将信任既视为AI输出，又视为AI应用前提，为建立正向反馈回路奠定基础：AI提升网络安全，而对AI的信任则推动其广泛采用。
原文摘要 · Abstract (English)
This chapter explores the symbiotic relationship between Artificial Intelligence (AI) and trust in networked systems, focusing on how these two elements reinforce each other in strategic cybersecurity contexts. AI's capabilities in data processing, learning, and real-time response offer unprecedented support for managing trust in dynamic, complex networks. However, the successful integration of AI also hinges on the trustworthiness of AI systems themselves. Using a game-theoretic framework, this chapter presents approaches to trust evaluation, the strategic role of AI in cybersecurity, and governance frameworks that ensure responsible AI deployment. We investigate how trust, when dynamically managed through AI, can form a resilient security ecosystem. By examining trust as both an AI output and an AI requirement, this chapter sets the foundation for a positive feedback loop where AI enhances network security and the trust placed in AI systems fosters their adoption.
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