人工智能辅助发明对专利新颖性审查提出了诸多挑战，主要体现在现有技术范围、单独对比原则和审查基准等方面。首先，人工智能的应用导致现有技术数量激增，可能使新颖性审查异化为专利竞争的工具。其次，单独对比原则在面对跨领域技术融合时显露出局限性，难以有效判断人工智能辅助发明的创新特征。最后，人工智能生成的技术文本增加了审查的复杂性。为应对这些挑战，建议重构现有技术的认定标准，引入“实质可获取性”标准。同时，构建跨领域对比原则，明确技术关联性判断和文献组合的可预见性检验。此外，提出技术实质等同性原则和智能化审查工具的应用，强化披露义务，确保人工智能技术在促进创新的同时，维护专利制度的公平性与有效性。

Artificial Intelligence (AI)-assisted inventions pose significant challenges to patent novelty examination, primarily manifested in three dimensions: the scope of prior art, the principle of individual comparison, and examination criteria. Firstly, the application of AI has triggered an exponential growth in prior art volume, potentially distorting novelty examination into a tool for patent competition. Secondly, the principle of individual comparison reveals limitations when addressing cross-domain technological convergence, complicating the identification of innovative features in AI-assisted inventions. Thirdly, AI-generated technical documentation increases the complexity of examination processes. To address these challenges, this study proposes reconstructing the identification criteria for prior art through the introduction of a “substantive accessibility” standard. Concurrently, it advocates establishing a cross-domain comparison principle to clarify technical relevance assessments and predictability tests for prior art combinations. Furthermore, the principle of technical substantive equivalence and the integration of intelligent examination tools are recommended to strengthen disclosure obligations. These measures aim to ensure that AI technology fosters innovation while upholding the fairness and efficacy of the patent system.