大模型AI系统正在重塑网络空间内容生态新格局，探究AIGC背景下内容生态安全挑战与治理模式，对提升AIGC应用实践效能和推动内容生态安全有序发展具有重要意义。文章以技术与市场双轮驱动下内容生态安全现状为切入点，研究了AIGC在模型技术、内容质量、责法治理、认知应用层面面临的治理困境，并对造成各类风险困境的多维度成因进行分析，提出了AIGC背景下内容生态安全的智适应治理模式。围绕技术、资源、制度、环境构建具有自学习、自适应、自优化能力的智适应治理体系，进行AI集群驱动下的技术智适应治理、面向国际竞合与市场需求的环境智适应治理、融合数字身份合约的资源智适应治理、监管与协同双轨并行的制度智适应治理，对塑造安全、有序、稳定的AIGC内容生态格局意义重大。

The Large Model AI System is reshaping the new pattern of the cyberspace content ecology, and it is of great significance to explore the challenges and governance modes of content ecosystem security in the context of AIGC to enhance the effectiveness of the application of AIGC and promote the safe and orderly development of the content ecosystem. This paper takes the current situation of content ecological security under the dual-wheel drive of technology and market as an entry point, we thoroughly studied the governance dilemmas faced by AIGC at the levels of model technology, content quality, legal and liability governance, and cognitive application, and analyzed in detail the multi-dimensional causes of various risks and dilemmas, and further put forward a smart adaptive governance model of content ecological security in the context of AIGC. Constructing a smart-adaptive governance system with self-learning, self-adaptation, and self-optimization capabilities around technology, resources, systems, and environments, carrying out technological intelligent adaptive governance driven by AI clusters, environmental intelligent adaptive governance oriented to international competition, cooperation, and market demands, resource intelligent adaptive governance integrating digital identity contracts, and institutional intelligent adaptive governance featuring the dual-track parallel system of supervision and coordination are of great significance in shaping a safe, orderly, and stable content ecological pattern of AIGC.