Google 是业界首家发布 AI/机器学习隐私权承诺的公司之一，该承诺概述了客户应拥有最高级别安全性并能够控制其在云中存储的数据的这一信念。该承诺会延伸到 Google Cloud 生成式 AI 产品。Google 通过健全的数据治理实践（包括审核 Google Cloud 在其产品开发中使用的数据），帮助确保 Google 团队遵循这些承诺。如需详细了解 Google 如何处理数据，另请参阅 Google 的客户数据处理附录 (CDPA)。
生成式 AI 的使用情况
AI Applications 使用生成式 AI 服务来打造搜索、个性化和对话式体验。
根据 Google Cloud AI/机器学习隐私保护承诺，AI 应用中使用的客户数据不会用于训练基础模型。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-09-03。"],[[["\u003cp\u003eGoogle has an AI/ML Privacy Commitment, ensuring customers have control and security over their cloud data, extended to generative AI products.\u003c/p\u003e\n"],["\u003cp\u003eData governance practices, including reviews, ensure that Google Cloud teams adhere to their data usage commitments.\u003c/p\u003e\n"],["\u003cp\u003eCustomer data used in Vertex AI Agent Builder is not used to train foundation models.\u003c/p\u003e\n"],["\u003cp\u003eCustomer-specific models are built for individual customer projects, and the data used is not used to train foundation models.\u003c/p\u003e\n"],["\u003cp\u003eCustomer-specific models, and all customer data, are protected by Google's security controls and best practices.\u003c/p\u003e\n"]]],[],null,["# Data governance and generative AI\n\nGoogle was one of the first in the industry to publish an\n[AI/ML Privacy Commitment](/blog/products/ai-machine-learning/google-cloud-unveils-ai-and-ml-privacy-commitment),\nwhich outlines our belief that customers should have the highest level of\nsecurity and control over their data that is stored in the cloud. That\ncommitment extends to Google Cloud generative AI products. Google helps ensure\nthat its teams are following these commitments through robust data governance\npractices, which includes reviews of the data that Google Cloud uses in\nthe development of its products. More details about how Google processes data\ncan also be found in\n[Google's Customer Data Processing Addendum (CDPA)](/terms/data-processing-addendum).\n\nUsage of generative AI\n----------------------\n\nAI Applications uses generative AI services for building search, personalized,\nand conversational experiences.\n\nAs part of the Google Cloud AI/ML Privacy Commitment, customer data used\nin AI Applications is not used to train foundation models.\n\nFoundation models are frozen and only process input to provide output for the\nservices provided by AI Applications.\n\nCustomer-specific models\n------------------------\n\nWhen applicable, customer-specific models are built automatically and used only\nin the context of the project that is specific to the customer for the\nAI Applications service.\n\nAny customer data used to create these customer-specific models is not used to\ntrain foundation models.\n\nCustomer-specific models, much like all customer data, continues to be\nprotected by\n[Google's security controls and best practices](/docs/security/overview/whitepaper)."]]
