Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy
Differential Perspectives: Epistemic Disconnects Surrounding the U.S. Census Bureau’s Use of Differential Privacy
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差异视角：围绕美国人口普查局使用差异隐私的认知脱节
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Jayshree Sarathy
中科院分区：
文献类型：
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作者：
Dan R. Boyd;Jayshree Sarathy
：当美国人口普查局宣布打算对2020年人口普查的信息披露回避程序进行现代化改造时，引发了一场仍在进行的争议。向差别隐私的转变带来了技术和程序上的不确定性，使利益相关者无法评估数据的质量。更重要的是，这一转变暴露了人口普查数据的统计幻觉和局限性，削弱了利益攸关方对数据和人口普查局本身的信任。本文考察了这场争论的认识论潮流。借鉴科学与技术研究(STS)和人种学田野调查的理论，我们将当前关于差别隐私的争论分析为一场关于人口普查的不确定性、信任和合法性的斗争。我们认为，重建信任需要的不仅仅是技术上的修复或改善沟通；它还需要重建我们所认为的“统计假想”。
: When the U.S. Census Bureau announced its intention to modernize its disclosure avoidance procedures for the 2020 Census, it sparked a controversy that is still underway. The move to differential privacy introduced technical and procedural uncertainties, leaving stakeholders unable to evaluate the quality of the data. More importantly, this transformation exposed the statistical illusions and limitations of census data, weakening stakeholders’ trust in the data and in the Census Bureau itself. This essay examines the epistemic currents of this controversy. Drawing on theories from Science and Technology Studies (STS) and ethnographic fieldwork, we analyze the current controversy over differential privacy as a battle over uncertainty, trust, and legitimacy of the Census. We argue that rebuilding trust will require more than technical repairs or improved communication; it will require reconstructing what we identify as a ‘statistical imaginary.’