It's the year 2020, and every space and place on- and off-line has been augmented with digital things that observe, record, transmit, and compute, for the purposes of recording endless data traces of what is happening in the world. Individually, these things (and the invisible services the power them) have reached considerable sophistication in their ability to analyse and dissect such observations, turning streams of audio and video into informative data fragments. Yet somehow, individuals as end-users of platforms and services have not seen the full potential of such data. In this speculative paper, we propose two hypothetical mini scenarios different from our current digital world. In the former, instead of hoarding it, data controllers turn captured data over to those who need it as quickly as possible, working together to combine, validate, and refine it for maximum usefulness. This simultaneously addresses the data fragmentation and privacy problem, by handing over long-term data governance to those that value it the most In the latter, we discuss ethical dilemmas using the long-term use of such rich data and its tendency to cause people to relentlessly optimise.

中文翻译：

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超反射数据：对数据为人们服务的世界的推测性想象

现在是 2020 年，线上和线下的每个空间和地点都增加了观察、记录、传输和计算的数字事物，目的是记录世界上正在发生的事情的无尽数据痕迹。单独来看，这些东西（以及它们的力量是无形的服务）在分析和剖析这些观察的能力方面已经达到了相当高的水平，将音频和视频流转化为信息数据片段。然而不知何故，作为平台和服务最终用户的个人并没有看到此类数据的全部潜力。在这篇推测性论文中，我们提出了两个与我们当前的数字世界不同的假设小场景。在前者中，数据控制者不是将其囤积起来，而是将捕获的数据尽快交给需要它的人，共同努力合并，验证并优化它以获得最大的实用性。这同时解决了数据碎片化和隐私问题，将长期数据治理交给了最重视数据的人。在后者，我们讨论了长期使用这些丰富数据的道德困境及其导致人们不懈地优化。