Abstract: The in-depth application of generative artificial intelligence has endowed intellectual property (IP) risks associated with large models with new notable characteristics, namely sudden onset, high transmissibility and severe destructiveness, which have posed substantial challenges to conventional governance frameworks. This study focuses on the IP emergencies triggered by the misuse of large model technologies, and aims to construct a response and disposal mechanism integrating intelligent early warning, rapid handling and collaborative coordination. First, this study establishes a multidimensional monitoring indicator system, multi-source data perception framework and dynamic grading rules to achieve precise risk identification and tiered classification. Subsequently, this study designs a standardized disposal workflow centered on immediate containment, evidence preservation and blockchain-based forensic storage, which ensures rapid interruption of risk propagation and provides solid support for subsequent legal accountability. Finally, this study develops a multi-stakeholder collaborative linkage mechanism covering government-enterprise cooperation, cross-sectoral coordination and cross-border interaction, so as to integrate resources, resolve jurisdictional conflicts and generate synergistic effects in risk prevention and control. The proposed mechanism aims to realize a paradigm shift from passive remediation to proactive prevention, and provides a theoretical framework and practical pathways for building an agile and efficient governance system for IP risks in the context of large models.

Key words: large models, intellectual property emergency risks, risk early warning, disposal mechanism, collaborative governance

摘要： 生成式人工智能的广泛应用，使大模型知识产权风险呈现出突发性、传导性与高破坏性的新特征，对传统治理体系构成严峻挑战。本文聚焦于大模型技术滥用所引发的知识产权突发风险，致力于构建一套涵盖“智能预警、快速处置、协同联动”的响应与处置机制。首先，通过构建多维度监测指标、多源数据感知与动态分级规则，实现风险的精准识别与等级划分；其次，设计以即时管控、证据固定与区块链存证为核心的标准化处置流程，为快速阻断风险扩散、有效支撑法律追责提供保障；最后，建立贯通政企、跨领域与跨境的多元协同联动机制，以整合资源、化解管辖权冲突，形成风险防控合力。本文为构建敏捷高效的大模型知识产权风险治理体系提供了理论参考。

关键词: 大模型, 知识产权突发风险, 风险预警, 处置机制, 协同治理