We are surrounded by digital apparatuses that continuously capture, process, and archive social and material information: from global search engines to local smart cities; from public health monitoring to personal self-tracking. Although the use of big data emerged from the human desire to acquire and master more information and knowledge and to eliminate human error in large-scale information management, it has become clear in recent years that big data technologies bring with them new and crucial uncertainties in the form of new biases, systemic errors and, as a result, new ethical challenges which require urgent attention and analysis. This article addresses these uncertainties through cultural theories of the archive, arguing that big data presents our contemporary era with a number of pressing archival uncertainties. By focusing on the notions of the unknown, error, and vulnerability, respectively, we tune in on three types of uncertainty that overlap and intertwine, yet also reveal different configurations of archival uncertainty, which we regard as central to the understanding of conditions of the digitally networked data archives that have become a crucial component of the cultures of surveillance and governmentality today.

中文翻译：

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不确定的档案：通过档案的文化理论来处理大数据的未知，错误和漏洞

我们周围是数字设备，这些设备不断捕获，处理和存档社会和物质信息：从全球搜索引擎到本地智能城市；从全球互联网到本地智能城市。从公共健康监测到个人自我跟踪。尽管大数据的使用源于人类获取和掌握更多信息和知识并消除大规模信息管理中的人为错误的愿望，但近年来已经清楚的是，大数据技术给他们带来了新的，至关重要的不确定性。新的偏见，系统性错误以及由此带来的新的道德挑战的形式，需要紧急关注和分析。本文通过档案的文化理论解决了这些不确定性，认为大数据为我们当今时代带来了许多紧迫的档案不确定性。