Data harvesting and profiling have become a de facto business model for many businesses in the digital economy. The surveillance of individual persons through their use of private sector platforms has a well-understood effect on personal autonomy and democratic institutions. In this article, we explore the consequences of implementing data-rich services in the public sector and, specifically, the dangers inherent to undermining the universality of the reach of public services, the implicit endorsement of the platform operators by the government, and the inability of members of the public to avoid using the platforms in practice. We propose a set of good practices in the form of design principles that infrastructure services can adopt to mitigate the risks, and we specify a set of design primitives that can be used to support the development of infrastructure that follows the principles. We argue that providers of public infrastructure should adopt a practice of critical assessment of the consequences of their technology choices.

中文翻译：

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平台介导的公共服务的数据管理：挑战和最佳实践

数据收集和分析已成为数字经济中许多企业事实上的商业模式。通过使用私营部门平台对个人进行监视对个人自治和民主制度具有众所周知的影响。在本文中，我们探讨了在公共部门实施数据丰富的服务的后果，特别是破坏公共服务的普遍性所固有的危险、政府对平台运营商的默许以及无能为力。公众成员避免在实践中使用这些平台。我们以设计原则的形式提出了一套良好实践，基础设施服务可以采用这些原则来降低风险，我们指定了一组设计原语，可用于支持遵循这些原则的基础设施的开发。我们认为，公共基础设施的提供者应该对他们的技术选择的后果进行批判性评估。