多篇文章讨论了在使用 AI 代理时的隐私和控制的重要性。其中一篇文章概述了加利福尼亚州、犹他州和华盛顿州的披露规则，建议使用聊天小部件披露即可。另一篇文章强调在 AI 代理访问个人数据之前构建一个控制分类账。此外，还重点介绍了使用 LiteLLM 和 Nginx 等工具构建注重隐私的 AI 网关，以便在数据发送给 LLM 提供商之前对其进行匿名化处理，并提到了 AI 代理的人工干预设置。 AI
影响 强调了在 AI 代理开发和部署中对强大的隐私和控制机制的需求。
排序理由 该集群讨论了构建注重隐私的 AI 系统的工具和技术，而不是核心 AI 发布或重要的行业事件。
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