Responsible AI 中的隐私做法涉及考虑使用敏感数据的潜在影响。这不仅包括严格遵守法律及监管要求，还应充分考虑社会规范和普通个人的期望。例如，考虑到 ML 模型可能会记住或透露其接触过的部分数据信息，需要采取哪些保护措施来保障个人隐私？需要采取哪些措施来确保用户能够充分了解相关信息，并掌控自己的数据？
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["没有我需要的信息","missingTheInformationINeed","thumb-down"],["太复杂/步骤太多","tooComplicatedTooManySteps","thumb-down"],["内容需要更新","outOfDate","thumb-down"],["翻译问题","translationIssue","thumb-down"],["示例/代码问题","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-02-25。"],[[["Responsible AI privacy practices involve respecting legal and regulatory requirements, social norms, and individual expectations regarding sensitive data."],["Safeguards are crucial to ensure individual privacy, as ML models can retain and potentially reveal aspects of the data used in training."],["Transparency and user control over their data are essential considerations in responsible AI development."],["Google's PAIR Explorables offer interactive learning experiences to deepen your understanding of ML privacy concepts like randomized response, federated learning, and data leakage."]]],[]]
