主权式 AI 的概念常常被误解，买家将其与主权云、数据驻留或本地部署解决方案混淆。真正的主权式 AI 指的是一个模型在用户自己的硬件上，在其用户的独家控制下运行，这与第三方运营的托管服务不同。这种控制对于可审计性至关重要，要求对机器、模型和操作员的每一次操作提供加密证明，以及对 AI 辅助决策进行防篡改记录。FIPS 204 (ML-DSA) 等标准提供了后量子签名能力，以确保这些审计追踪的真实性和不可否认性，使银行和保险公司等实体能够在不损害控制权或监管合规性的情况下，使用 AI 处理敏感数据。 AI
影响 阐明了主权式 AI 与相关概念之间的区别，强调了控制和可审计性对于合规性和安全数据处理的重要性。
排序理由 该集群包含解释性文章，定义和区分了与 AI 治理和可审计性相关的概念，而不是特定的事件。
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