[目的/意义]生成式人工智能技术的迅速发展和中美科技竞争的加剧，使用户隐私和数据安全面临严峻挑战。通过比较中美生成式人工智能平台隐私政策，分析其特点与差异，为我国人工智能应用的持续健康发展提供参考和启示。[方法/过程]选取中美20份具有代表性的生成式人工智能平台隐私政策文本，采用LDA主题模型聚类分析和PMC指数模型对政策文本进行量化分析。通过主题提取和一致性评估，对比分析中美隐私政策的优势与特色，为我国政策优化提供参考。[结果/结论]中国平台政策更侧重政府主导与全过程监管，美国则强调市场导向、用户自主与法律救济。基于此，建议我国生成式人工智能平台在隐私政策制定中由“防御性合规”向“主动规则输出”转变，强化数据全生命周期管理，构建科学监管体系，并完善用户权益保护与申诉救济机制，以提升隐私治理效能与平台竞争力。

[Purpose/significance] The rapid development of Generative Artificial Intelligence (GAI) technology, cou⁃pled with intensifying technological competition between China and the United States, has posed severe challenges to user privacy and data security. The study compares the privacy policies of GAI platforms in both countries, aiming to analyze their characteristics and differences, and provide useful insights for the sustainable and healthy development of AI applications in China. [Method/process] The study selects 20 representative privacy policy texts from GAI plat⁃forms in China and the U.S., employing LDA topic modeling and the PMC index model for quantitative analysis.Through topic extraction and consistency evaluation, it compares the strengths and features of privacy policies in both countries to inform policy optimization in China. [Result/conclusion] The findings show that Chinese platform policies
emphasize government-led design and full-process regulation, while U.S. policies focus more on market orientation, us⁃er autonomy, and legal remedies. Based on this, the study suggests that Chinese AI platforms should shift from a "defen⁃sive compliance" approach to "proactive rule-making", strengthen data lifecycle management, build a sound regulatory framework, and improve mechanisms for protecting user rights and addressing complaints, thereby enhancing the effec⁃tiveness of privacy governance and platform competitiveness.