如何通过隐私感知基础设施在规模上强制执行元目的限制

At Meta, we’ve been diligently working to incorporate privacy into different systems of our software stack over the past few years. Today, we’re excited to share some cutting-edge technologies that are part of our Privacy Aware Infrastructure (PAI) initiative. These innovations mark a major milestone in our ongoing commitment to honoring user privacy.
在过去几年中，我们在 Meta 一直努力将隐私纳入我们软件堆栈的不同系统中。今天，我们很高兴地分享一些属于我们隐私感知基础设施（PAI）计划的尖端技术。这些创新标志着我们对尊重用户隐私的持续承诺的重要里程碑。
PAI offers efficient and reliable first-class privacy constructs embedded in Meta infrastructure to address complex privacy issues. For example, we built Policy Zones that apply across our infrastructure to address restrictions on data, such as using it only for allowed purposes, providing strong guarantees for limiting the purposes of its processing.
PAI在Meta基础设施中提供高效可靠的一流隐私构造，以解决复杂的隐私问题。例如，我们建立了适用于我们基础设施的策略区域，以解决对数据的限制，例如仅将其用于允许的目的，并为限制其处理目的提供强有力的保证。
As we expanded PAI across Meta, increasing its maturity, we gained valuable insights. Our understanding of the technology evolved, revealing the need for a larger investment than initially planned to create a cohesive ecosystem of libraries, tool suites, integrations, and more. These investments have been crucial in enforcing complex purpose limitation scenarios while ensuring scalability, reliability, and a streamlined developer experience.
随着我们在 Meta 上扩展 PAI 并提高其成熟度，我们获得了宝贵的见解。我们对技术的理解不断发展，揭示了需要比最初计划的更大投资来创建一个具有连贯性的库、工具套件、集成等的生态系统。这些投资在强制执行复杂的目的限制场景以及确保可扩展性、可靠性和简化的开发者体验方面至关重要。

Purpose limitation, a core data protection principle, is about ensuring data is only processed for explicitly stated purposes. A crucial aspect of purpose limitation is managing data as it flows across systems and services. Commonly, purpose limitation can rely on “point checking” controls at the point of data processing. This approach involves using simple if statements in code (“code assets”) or access control mechanisms for datasets (“data assets”) in data systems. However, this approach can be fragile as it requires frequent and exha...